1008 results about "Active safety" patented technology

Methods, program products, and systems for proactively securing mobile devices are described. A mobile device can proactively determine whether the mobile device is associated with a security risk and the level of the security risk. Upon determining a security risk, the mobile device can transmit coordinates of its current geographic location to a server. To protect privacy of authorized users, the transmission can be disabled by entering a password. If multiple failed password attempts are detected, the mobile device can proactively increase a security level of the device, and selectively protect files or other content stored on the mobile device. In some implementations, the mobile device can be transitioned into a surveillance mode where the mobile device records or captures information associated with one or more of user actions, ambient sound, images, a trajectory of the device, and transmits the recorded or captured information to the network resource.

In one example, we describe a method and infrastructure for DSRC V2X (vehicle to infrastructure plus vehicle) system. In one example, some of connected vehicle applications require data from infrastructure road side equipment (RSE). Examples of such applications are road intersection safety application which mostly requires map and traffic signal phase data to perform the appropriate threat assessment. The examples given cover different dimensions of the above issue: (1) It provides methods of RSE of interest selection based solely on the derived relative geometric data between the host vehicle and the RSE's, in addition to some of the host vehicle data, such as heading. (2) It provides methods of RSE of interest selection when detailed map data is communicated or when some generic map data is available. (3) It provides methods of RSE of interest selection when other vehicles data is available. Other variations and cases are also given.

The invention discloses an active safety type assistant driving method based on stereoscopic vision. An active safety type assistant driving system comprehensively utilizes an OME information technology, consists of a stereoscopic vision subsystem, an image immediate processing subsystem and a safety assistant driving subsystem and comprises two sets of high resolution CCD (charge-coupled device) cameras, an ambient light sensor, a two-channel video collecting card, a synchronous controller, a data transmission circuit, a power supply circuit, an image immediate processing algorithms library, a voice reminding module, a screen display module and an active safety type driving control module. According to the active safety type assistant driving method, separation lines and parameters such as relative distance, relative speed, the relative acceleration and the like of dangerous objects such as front vehicles, front bicycles, front pedestrians and the like can be accurately identified in real time in sunny days, cloudy days, at nigh and under the severe weather conditions such as rain with snow, dense fog and the like, so that the system can prompt a driver to adopt countermeasure through voice and can realize automatic deceleration and emergency brake at emergency situation, thereby ensuring safe travel in a whole day.

According to one embodiment, an active safety control system for a driver of a vehicle is provided when the vehicle is in a first perturbed state. The system generally includes a plurality of sensors, an actuation system and a controller. The plurality of sensors are operable to generate signals which indicate that the vehicle is in the first perturbed state. The actuation system is adapted to change driving conditions of the vehicle. The controller is configured to selectively control the actuation system in response to the signals without driver intervention to change the driving conditions of the vehicle to regain control of the vehicle after the vehicle has entered the first perturbed state.

In one example, we describe a method and infrastructure for DSRC V2X (vehicle to infrastructure plus vehicle) system. In one example, some of connected vehicle applications require data from infrastructure road side equipment (RSE). Examples of such applications are road intersection safety application which mostly requires map and traffic signal phase data to perform the appropriate threat assessment. The examples given cover different dimensions of the above issue: (1) It provides methods of RSE of interest selection based solely on the derived relative geometric data between the host vehicle and the RSE's, in addition to some of the host vehicle data, such as heading. (2) It provides methods of RSE of interest selection when detailed map data is communicated or when some generic map data is available. (3) It provides methods of RSE of interest selection when other vehicles data is available. Other variations and cases are also given.

The invention provides an active-lane-changing collision-avoidance control method and device based on vehicle-vehicle coordination and belongs to the technical field of intelligent traffic / automobile active safety control. The active-lane-changing collision-avoidance control device comprises a vehicle-vehicle communication unit, a distance measuring sensor, a three-axis acceleration sensor, a vehicle speed sensor, an electronic control unit, an ESP control unit, a driver auxiliary operation unit, a tail lamp control unit and a vehicle inner warning unit. According to the active-lane-changing collision-avoidance control method, surrounding vehicle information is obtained through the vehicle-vehicle communication unit, the safety distance between a vehicle and a front vehicle on the same lane and the safety distance between the vehicle and a front vehicle on the side lane are determined; then, whether the vehicle meets the coordinated lane-changing collision-avoidance requirement is judged, if yes, the expectant lateral and the longitudinal acceleration of the vehicle is calculated, and control over the direction and the speed of the vehicle are conducted, and if not, lane-changing danger warning is conducted. By the adoption of the active-lane-changing collision-avoidance control method and device based on vehicle-vehicle coordination, active-lane-changing collision-avoidance control is achieved, driver safety accidents caused by emergency brake and rear-end collision accidents caused by emergency brake can be avoided, manual operation errors are avoided, and the safety of driving the vehicle is guaranteed.

The invention belongs to the field vehicle active safety, and particularly discloses a detection method and system, based on laser radar and binocular camera, for a pedestrian in front of vehicle. The method comprises the following steps: collection data of the front of the vehicle through the laser radar and the binocular camera; respectively processing the data collected by the laser radar and the binocular camera, so as to obtain the distance, azimuth angle and speed value of the pedestrian relative to the vehicle; correcting the information of the pedestrian through a Kalman filter. The method comprehensively utilizes a stereoscopic vision technology and a remote sensing technology, integrates laser radar and binocular camera information, is high in measurement accuracy and pedestrian detection accuracy, and can effectively reduce the occurrence rate of traffic accidents.

A vehicle operating state estimation method based on improved extended Kalman filter includes using the improved extended Kalman filter algorithm for properly modeling to acquire operating state information such as longitudinal forward speed, yaw velocity, lateral speed, side slip angle and the like of a vehicle in a higher maneuvering operating state, wherein the information can be used for relevant control of vehicle active safety. The vehicle operating state estimation method based on improved extended Kalman filter has the advantages of high precision, low cost, high instantaneity and the like.

The invention discloses a back sight image cognition based on-vehicle blind area early warning system and a method, wherein the system is composed of cameras (1 and 2) mounted on a rearview mirror to monitor the blind area, a digital signal processor (DSP), a sound prompting device, a power source and a plurality of data cables. The system reads the automobile travelling signal through the data cables, acquires the road surface image of the blind area (4 and 5) by adopting the rearview cameras, the processor processes the image, detects the automobile (3) in the blind area, analyzes the travelling state of the automobile, and realizes the multi-stage tracking for the automobile, when the driver intends to switch lanes, if another automobile in the blind area is not far from the automobile, then the driver is warned by the sound prompting device, so that the danger of collision during switching lanes is avoided. The back sight image cognition based on-vehicle blind area early warning system and the method are applied to the active safety driving, and has the advantages of simple system configuration, low cost, high safety performance, good real-time performance and complex environment adaptability.

The invention relates to a driver fatigue detection method based on face video analysis, belonging to the field of vehicle active safety and mode recognition. The method comprises the steps of: carrying out face detection on a face image to be detected for primarily positioning local organs, such as eyes, nose and mouth; further obtaining face characteristic points positioned accurately; and finally, on the basis of an accurate positioning result of multiple frames of face characteristic points to be detected, carrying out quantization description on a face motion characteristic, and obtaining the result of fatigue detection on a driver to be detected according to a face motion statistical indicator. The driver fatigue detection method has high reliability, has no special requirements on hardware, does not involve complex operation, and has good instantaneity so as to be applied in real time in practice. The driver fatigue detection method has better robustness on the aspects of eyeglasses wearing, face angles, nonuniform illumination and the like, and can be suitable for various types of vehicles for reminding a driver of being in a fatigue state so that traffic accidents are avoided.

The invention belongs to safety equipment for a nuclear power plant, in particular to a passive and active combined special safety system for the nuclear power plant. The system comprises a passive high-pressure core water supply tank, an accumulator, a low-pressure safety injection pump, a refueling water tank, a secondary-side passive residual heat removal heat exchanger, a vapor condensation water tank, a containment spray system, a passive reactor cavity water injection system, related valves and related pipes. When the nuclear power plant has a design basis accident or beyond design basis accident, through a series of passive and active safety facilities used in all steps, the circuit of a reactor and the core can be cooled effectively, so that the nuclear power plant can enter a safe cold shutdown condition smoothly; and thus, the serious accident consequence of the reactor is inhibited or relieved, damage caused by accidents is relieved, and the safety of the nuclear power plant is improved.

The invention discloses a control method for avoiding collision during emergent lane changing of a vehicle in a high-speed state and belongs to the technical field of vehicle active safety. A detecting unit obtains a road adhesion coefficient as well as the speeds, distance and accelerated speeds of the vehicle and a vehicle on an adjacent lane through a GPS / INS, millimeter-wave radar, a high-definition camera, a speed sensor and an accelerated speed sensor. A processing unit judges whether an alarm is given or an emergent lane changing collision avoiding intervention measure is taken under the collision risk situation according to the data of the detecting unit. An alarm unit carries out voice prompting and carries out displaying through a vehicle-mounted terminal. An executing unit achieves lane changing collision avoiding intervention through a braking controller and a steering controller. According to the method, risk early warning and lane changing prompting are achieved, under the situation that accidents cannot be avoided through emergent braking, the lane changing direction is judged according to the speed, accelerated speed and distance of the vehicle on the adjacent lane, an emergent lane changing trajectory is planned reasonably, and thus the purpose of avoiding accidents by avoiding collision during emergent lane changing is realized.

The invention provides the application and design for embedding a bionic honeycomb-shaped active safety escape capsule into an aircraft. The application and design comprise the following related technologies including redesign of a main machine body of the aircraft for the embedded type bionic honeycomb-shaped active safety escape capsule, internal space layout design of the main machine body of the aircraft for the embedded type bionic honeycomb-shaped active safety escape capsule, design of an escape capsule embedded type shell and the shape, analysis of influences of the embedded escape capsule on the overall load of the aircraft, integral analysis and determination of flight aerodynamic load data, selection of an escape capsule material, escape capsule ejection mode analysis and ejection device design, logic design of launch motion of the escape capsule, internal space structure analysis of the escape capsule; active safety design of space landing of the escape capsule, description of flight dynamics influences of the escape capsule on the aircraft during and after separation, and design of an active help seeking system of the escape capsule. In this way, the application and design for researching and manufacturing the bionic honeycomb-shaped active safety escape capsule embedded into the aircraft are achieved.

Various methods and systems are disclosed for implementing active safety countermeasures in vehicles when it is determined that the driver is impaired.

The invention discloses a heavy-duty lorry driving barrier detection and tracking method based on a binocular fisheye camera, and belongs to the technical field of traffic vehicle active safety. The method mainly comprises the steps: starting two calibrated and corrected infrared fisheye cameras, disposed at two ends of the tail of a vehicle, to synchronously collect back-up environment image information when the back-up of a heavy-duty lorry is detected, outputting a back-up information after jointing, and displaying the back-up image on a display screen of a cab. A binocular fisheye visual system is used for obtaining the initial position and distance of a to-be-tracked barrier object, and then a video target tracking algorithm combined with the low-rank matrix theory based on particle filtering is used for achieving the tracking of a barrier, achieves the real-time updating of an image template in a tracking process, and detects whether there is a new barrier or not. When a vehicle is detected to turn around, a supersonic radar is started to detect that there is a barrier in a one-meter range beside the lorry, the position of the barrier is displayed and the early warning is sent. The method is mainly used for a large-size lorry.

The invention provides a vehicle safety driving pre-warning method and system and a vehicle terminal device. By means of a vehicular network, driving information sent by an adjacent vehicle is received; when speed of a current vehicle and / or the adjacent vehicle is larger than a preset first threshold, the position and the driving direction of the adjacent vehicle relative to the current vehicle are determined; the probability of collision at a crossroad can be judged, and pre-warning is carried out when it is judged that the probability of the collision of the current vehicle and the adjacent vehicle at the crossroad exists. According to the vehicle safety driving pre-warning scheme, the information can be collected without the dependence on traditional active safety devices such as radar and sensors, the driving information of the adjacent vehicle is obtained through the vehicular network, and accordingly the information amount is large. Accordingly, the driving safety pre-warning range is larger, predictability is stronger, and driving safety of the vehicles is improved.

The invention belongs to the technical field of automobile active safety, and particularly relates to a tracking and predicting device of the motion state of a front vehicle and a predicating method thereof. The tracking and predicting device of the motion state of the front vehicle comprises the vehicle, an ARM9 processor, a camera fixed to the center of the outer side of the front windshield of the vehicle, a lane line sensor for detecting the position relation between the vehicle and a lane line where the vehicle is located, a vehicle speed sensor for collecting driving speed data of the vehicle and a millimeter-wave radar for emitting signals to the position in front of the vehicle; a lens of the camera faces the position in front of the vehicle; the lane line sensor is fixed to the center of the outer side of the front windshield of the vehicle; the millimeter-wave radar is fixed to the outer side of an air inlet grating of the vehicle; the signal input end of the ARM9 process is electrically connected with the signal output end of the vehicle speed sensor, the signal output end of the lane line sensor, the signal output end of the camera and the signal output end of the millimeter-wave radar.

The invention relates to a driving / braking system of an independent four-wheel electric automobile, comprising a working condition detection device, a control device, a drive motor driver and a braking device driver, The working condition detection device respectively detects various working condition signals of the electric automobile; the control device processes and calculates the working condition signals to obtain driving control signals and / or braking control signals which correspond to wheels of the electric automobile; and the drive motor driver and the braking device driver respectively control the output of a drive motor and a braking device which respectively correspond to the wheels of the electric automobile according to the driving control signals and / or the braking control signals. The invention can flexibly and reasonably distribute the driving force and the braking force according to working conditions and realize the initiative safety driving / braking of the independent four-wheel electric automobile.

Lane Boundary Estimation and Host Vehicle Position and Orientation, within the host lane estimation, using V2V (vehicle to vehicle) system, are discussed here. Lane boundary detection and tracking is essential for many active safety / ADAS application. The lane boundary position enables the tracking of the host vehicle position and orientation inside the lane. It also enables classifying in-lane, adjacent lanes, and other lanes vehicles. These two functionalities (lane boundary estimation and vehicle lane classifications) enable active safety applications (such as LDW, FCW, ACC, or BSD). It also enables the lateral control of the vehicle for lane keeping assist system, or for full lateral control for automated vehicle (automated for one or multiple lane changes).

The invention relates to a driving auxiliary device and a driving auxiliary method. The driving auxiliary device comprises image acquisition devices, a display, an image processing device and an alarm. Information of images around a vehicle is acquired, analyzed and processed by using a plurality of the image acquisition devices which are arranged in an optimized manner and the image processing device. On the one hand, traditional physical imaging rearview mirrors of an automobile are removed, visual blind areas of a driver are eliminated, and air resistance of the automobile is reduced; on the other hand, the acquired images are processed by the image processing device, information of risks under different driving conditions is identified, to fulfill the auxiliary functions of active safety driving, such as lane change and early warning for side impact in turning, early warning for safe interval, early warning for recognition of road signs, early warning for lane departure, early warning for pedestrian detection and collision avoidance.

The invention relates to a fish streaming based non-signal intersection vehicle-vehicle cooperation control system and belongs to the field of vehicle control. A sensing positioning module of the system comprises an environment sensing portion and a navigation positioning portion and specifically comprises a DGPS positioning device, an inertial navigation system, a radar device and a sensor. A motion control module comprises a motion controller, a driver, an actuator, a transmission part and a controlled part. A wireless communication module consists of a transmitting-receiving device. A human-computer interaction interface comprises a processor, a display unit, an input unit, a communication interface and a data storage unit. A power management and control module comprises a storage battery and a level conversion unit. A route planning module adopts global route planning and is provided with an electronic map. A decision control module comprises a central processing unit, an information processing unit and a storage unit. Compared with the prior art, the fish streaming based non-signal intersection vehicle-vehicle cooperation control system has the advantages of being used for an unmanned vehicle, being provided with a wireless communication module and being high in active safety and road utilization rate.

A method and tools for virtually aligning object detection sensors on a vehicle without having to physically adjust the sensors. A sensor misalignment condition is detected during normal driving of a host vehicle by comparing different sensor readings to each other. At a vehicle service facility, the host vehicle is placed in an alignment target fixture, and alignment of all object detection sensors is compared to ground truth to determine alignment calibration parameters. Alignment calibration can be further refined by driving the host vehicle in a controlled environment following a leading vehicle. Final alignment calibration parameters are authorized and stored in system memory, and applications which use object detection data henceforth adjust the sensor readings according to the calibration parameters.

A method and tools for virtually aligning object detection sensors on a vehicle without having to physically adjust the sensors. A sensor misalignment condition is detected during normal driving of a host vehicle by comparing different sensor readings to each other. At a vehicle service facility, the host vehicle is placed in an alignment target fixture, and alignment of all object detection sensors is compared to ground truth to determine alignment calibration parameters. Alignment calibration can be further refined by driving the host vehicle in a controlled environment following a leading vehicle. Final alignment calibration parameters are authorized and stored in system memory, and applications which use object detection data henceforth adjust the sensor readings according to the calibration parameters.

A system and method for a vehicle-to-vehicle communications system that provide active safety applications employing lightweight geographic authentication using one-time signatures. The system and method require each vehicle to construct a discretized representation of its trajectory, which captures its kinematical history to a tunable degree of accuracy and to a tunable extent in the past. This trajectory information is then signed using a one-time signature. Thus, with every periodic message, the sending vehicle transmits the usual application payload, a signed version of the trajectory as described, and the digital signature over all of the fields.

The invention discloses an image-based vehicle anti-collision early warning method. An image sensor is utilized for collecting the images of a rod ahead; after a vehicle is detected successfully and tracked, according to the vehicle width variation in interframe images and combining with the influences of the relative vehicle speed and relative acceleration, the time to collision (TTC) of a target vehicle and the vehicle is calculated, the dangerous level is analyzed, and an alarm is given to a driver, and meanwhile, the relative driving state of the target vehicle and the current vehicle also can be determined. The method provided by the invention is applied to the technical field of vehicle active safety, can effective prevent rear-end collision with the vehicle ahead, also is not influenced by rugged topography, and has high safety performance.

An integrated sensing system for an automotive vehicle includes a plurality of sensors sensing the dynamic conditions of the vehicle. The sensors include a sensor cluster, a steering angle sensor, wheel speed sensors, any other sensors required by subsystem controls. The outputs from the sensing system are used to drive various vehicle control systems and to warn the drivers for certain abnormal operating conditions. The vehicle controls coupled with the integrated sensing system controller achieve control objectives including: fuel economy, chassis controls, traction controls, active safety, active ride comfort, active handling, and passive safety.

The invention belongs to the technical field of vehicle active safety and relates to a lane line detection method based on monocular vision. The lane line detection method comprises the following steps: acquiring an original image of a road condition in front of a vehicle; intercepting subimages of boundary regions at the two sides, wherein the subimages include the original image; removing the high-frequency noise of the subimages and carrying out grey level histogram equalization and binaryzation; intercepting left and right lane line detection region images; filtering based on the fixed width range of a lane line according to the features of low grey value pavements at the two sides of the lane line; preliminarily determining feature points of the lane line in a sampling line scanning manner and screening; and carrying out lane detection. The lane line detection method has the characteristics of good real time and high reliability.

The invention relates to a monitoring and evaluation method of driving behavior risk degrees and belongs to the technical field of automobile active safety. The method includes that steering wheel rotating angles, vehicle speed, longitudinal acceleration and transverse acceleration are real-timely collected; the real-timely collected data are arranged to form a data sequence in chronological sequence; driving risk degrees of acceleration, braking, overspeed, lave maintaining and lane changing are monitored and evaluated respectively according to vehicle state parameter and driver operation parameter information; comprehensive monitoring and evaluation of total driving risk degree at current moment is performed according to each risk degree index that is obtained in time window wide range so that a comprehensive monitoring and evaluation value at the current moment is obtained. Communication of the obtained comprehensive monitoring and evaluation value with a driver is achieved through an on-line real-time early warning man-machine interaction mode, and thereby, purposes of improving driving safety qualities and reducing road traffic accidents can be achieved.

The invention discloses an intelligent automobile trace tracking control system and method based on active safety, and belongs to the field of intelligent automobile automatic driving. The control system comprises a trace tracking control unit based on model predictive control and a steer-by-wire unit with the active safety function; the trace tracking control unit can obtain the accurate position of an automobile and the steering angle of a steering wheel in real time, so that the attitude information of the automobile is obtained; the target front wheel steering angle of the automobile is calculated by combination with the target trace parameters, and the steer-by-wire unit achieves accurate control over a steering execution motor according to the target front wheel steering angle; and at the same time, the possible rollover risk of the automobile is predicted, active front wheel steering angle compensation control is conducted, and finally the trace tracking control over the automobile is achieved. By combination with a model predictive control theory and a steer-by-wire technology based on active safety, reliability of the intelligent automobile is ensured, and trace tracking control over the intelligent automobile during high-speed driving is achieved.

The invention discloses an information pushing system and method based on a mobile geofence. An internet of vehicle information management system constructed through the method can make drivers obtain safety information of moving targets so as to provide active safety service. According to the method, dynamic fences are established with the geographic positions of the moving targets as references; information is pushed to associated objects in the fences; meanwhile, the multiple moving targets in the system are tracked. The invention further discloses a method for parallel management of the multiple dynamic fences. By means of the position information pushing system and the dynamic fence management method, safety driving information can be pushed to the surrounding associated objects accurately in time, and therefore traffic accidents are avoided.