14038 results about "Vehicle driving" patented technology

An alert system for a vehicle includes a video display, an interior visual alert device disposed at an interior rearview mirror assembly, a driver side visual alert device disposed at a driver side exterior rearview mirror assembly and a passenger side visual alert device disposed at a passenger side exterior rearview mirror assembly. A control is operable to activate at least one of the alert devices in response to a detection of an object rearward of the vehicle. The alert devices are viewable by the driver of the vehicle when activated and are operable to guide or prompt the driver to check the images captured by a rearward facing camera and displayed in the vehicle cabin by the video display so that the driver can verify the nature and type of a potential hazard rearward of the vehicle.

The present invention provides a situation awareness system of a driver of a vehicle in a multi-vehicle environment, said system comprising: a. a remote central server communicatively connected to a vehicle, comprising: i. a server computer comprising a CPU, a memory, and an operating system; ii. a wireless server transceiver; iii. databases within said server computer; iv. server applications within said server computer; b. a vehicle subsystem installed in a vehicle with a driver, comprising: i. an vehicle computer having a CPU, a memory, and an operating system; ii. sensors; iii. vehicle databases; iv. a vehicle transducer to interrogate external environmental responders about the state of the environment; v. a wireless vehicle transceiver; vi. vehicle applications within said vehicle computer; vii. a situation assessment application,

The information available to a driver of a vehicle is greatly expanded using wireless communications (e.g., using Bluetooth wireless communication devices). In one embodiment, information regarding an adjacent vehicle such as a brake light, a turn light, speed, distance, direction, etc., is transmitted from one vehicle to a nearby or adjacent other vehicle. The received information is used in any appropriate manner, such as causing the receiving vehicle to change vehicle speed or brake, to turn to avoid a collision, etc. In a second embodiment, roadside wireless transceivers collect information regarding passing vehicles, and central database is compiled relating to a traffic conditions. The traffic condition information can be passed back to the passing vehicles for appropriate use, e.g., causing the driver to slow down, or even causing a navigation device in the receiving vehicle to manually prompt for or automatically recalculate a best route to an intended destination. In yet another embodiment, broadcast transmitters can be established at signs and other significant locations transmitting information to passing vehicles. The broadcast information may be as simple as indicating the existence of the sign, or depending upon the range of the particular wireless transmitter, the existence of a particular sign, bump in road, curve, etc., can be forewarned far in advance of when the driver will actually see the relevant object. Alternatively, the broadcast information may be quite detailed, e.g., containing a detailed itemization and directions to a large number of gas stations, restaurants, etc., reachable from a particular exit from a highway.

In accordance with various embodiments of the disclosed subject matter, a method and a system for vision-centric deep-learning-based road situation analysis are provided. The method can include: receiving real-time traffic environment visual input from a camera; determining, using a ROLO engine, at least one initial region of interest from the real-time traffic environment visual input by using a CNN training method; verifying the at least one initial region of interest to determine if a detected object in the at least one initial region of interest is a candidate object to be tracked; using LSTMs to track the detected object based on the real-time traffic environment visual input, and predicting a future status of the detected object by using the CNN training method; and determining if a warning signal is to be presented to a driver of a vehicle based on the predicted future status of the detected object.

A radar system is described for use in vehicular applications. The radar system is particularly suited to backup warning systems and lane-change warning systems. The radar minimizes many of the problems found in the prior art by providing programmable delays and programmable gain. The radar uses a range search algorithm to detect and sort targets at various ranges within the field of view of the radar. Each target range corresponds to a particular delay and gain setting. The radar searches for targets at the various ranges by running a target search algorithm. For each target range, the search algorithm causes the proper time delay and gain setting. Targets within the selected range are detected and catalogued. Speed of the targets is obtained through Doppler processing. A display is used to warn the driver of the vehicle of the presence of targets at the various ranges. The warning may be visual and / or audible. When used in a lane-change system, issuance of an audible warning is based on the speed of the vehicle.