1153results about "External condition output parameters" patented technology

A transportation vehicle with an autonomous driving control has a set-up mode, an active drive mode, a safe shutdown mode, and an emergency response mode. The active drive mode autonomously navigates along a driving route specified in the set-up mode. A driver sensing system senses a driver presence in the driver seat and a driver's physiological state. Active drive mode is not entered from set-up mode unless the driver is present in the driver seat and the physiological state matches a normal condition. While in active driving mode, an elapsed time period is measured whenever the driver presence is not detected. If the time period increases above a first threshold then a notice is given to the driver that the active drive mode may be interrupted. If the time period increases above a second threshold then the active drive mode is terminated and the safe shutdown mode is initiated. A sensed physiological state is compared to a predetermined emergency condition and if a match is found then the autonomous driving control terminates the active drive mode and the emergency response mode is initiated.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. In certain aspects, with the customer's permission, a computer-implemented method for updating an autonomous operation feature may be provided. An indication of a software update associated with the autonomous operation feature may be received, and several autonomous or semi-autonomous vehicles having the feature may be identified. The update may be installed within the several vehicles, such as via wireless communication. Also, a change in a risk level associated with the update to the autonomous operation feature may be determined, and an insurance discount may be determined or adjusted. As a result, an insurance discount may be provided to risk averse customers that affirmatively share their vehicle data with an insurance provider, and promptly and remotely receive new versions of software that operate autonomous vehicle safety features.

A computer-implemented method of enhancing safe vehicle operation may include, one or more processors, (1) determining a preferred parking spot for an autonomous or semi-autonomous vehicle; (2) determining a route to the preferred parking spot from a driver drop off point; and (3) causing the autonomous or semi-autonomous vehicle to travel from the driver drop off point to the preferred parking spot following the route controlled by one or more autonomous operation features. The preferred parking spot may be a covered parking spot, a parking spot in a parking structure, or a parking spot in a residential garage. An autonomous vehicle owner may remotely direct the autonomous vehicle to autonomously return to the driver drop off point, such as via their mobile device. Insurance discounts may be provided to autonomous vehicle owners having the self-parking functionality that mitigates or prevents risk of damage to, or theft of, the vehicle.

A processing apparatus includes a distance image acquirer, a moving-object detector, and a danger-level determining unit. The distance image acquirer acquires a distance image containing distance information of each pixel. The moving-object detector detects a moving object from the distance image. The danger-level determining unit determines a danger level of the moving object by use of the distance image, and outputs the danger level to a controller that controls a controlled unit in accordance with the danger level.

The invention relates to a vehicle multi-target coordinating lane changing assisting adaptive cruise control method. The method comprises the following steps that 1) LCACC combination property indexes are set according to two-front-vehicle traceability, multi-vehicle movement safety and longitudinal driving comfort requirements, and the LCACC combination property indexes comprise a cost function and I / O constraints; 2) a multi-target coordinating optimal control problem is built, solving is carried out through a rolling time domain optimization algorithm, the optimal control quantity is obtained, and optimal control is achieved. The LCACC cost function is set according to the following steps that a) a traceability cost function is built through a two-norm linear combination of the vehicle distance errors and vehicle speed errors of the own vehicle and two front vehicles; b) a comfort cost function is built by restraining longitudinal acceleration. The LCACC I / O constraints are set according to the steps that a) in the respect of tracking performance, vehicle following error constraints which are used for limiting the vehicle speed errors and the vehicle distance errors and allowed by a driver are obtained through driver experimental data in a statistic mode; b) in the respect of safety performance, the safety distance between the own vehicle and multiple surrounding vehicles is restrained in the view of vehicle following and collision avoidance; c) in the respect of comfort performance, the expected longitudinal acceleration data range is restrained.