B60W30/09

VEHICLE AND OBSTACLE DETECTION DEVICE

A vehicle sets a first determination region of a first obstacle and a second determination region, on the basis of a position of the first obstacle. The second determination region is located at a position farther than the first determination region. A reliability of the second obstacle is set to a first reliability in a case where a position of a second obstacle falls outside the first determination region and falls outside the second determination region. The reliability of the second obstacle is set to a second reliability higher than the first reliability in a case where the position of the second obstacle falls within the first determination region or falls within the second determination region. Braking is applied to the vehicle body and/or acceleration of the vehicle body is suppressed, on the basis of the reliability of the second obstacle and the position of the second obstacle.

VEHICLE AND OBSTACLE DETECTION DEVICE

A vehicle sets a first determination region of a first obstacle and a second determination region, on the basis of a position of the first obstacle. The second determination region is located at a position farther than the first determination region. A reliability of the second obstacle is set to a first reliability in a case where a position of a second obstacle falls outside the first determination region and falls outside the second determination region. The reliability of the second obstacle is set to a second reliability higher than the first reliability in a case where the position of the second obstacle falls within the first determination region or falls within the second determination region. Braking is applied to the vehicle body and/or acceleration of the vehicle body is suppressed, on the basis of the reliability of the second obstacle and the position of the second obstacle.

Occlusion Constraints for Resolving Tracks from Multiple Types of Sensors
20230046396 · 2023-02-16 ·

This document describes techniques for using occlusion constraints for resolving tracks from multiple types of sensors. In aspects, an occlusion constraint is applied to an association between a radar track and vision track to indicate a probability of occlusion. In other aspects, described are techniques for a vehicle to refrain from evaluating occluded radar tracks and vision tracks collected by a perception system. The probability of occlusion is utilized for deemphasizing pairs of radar tracks and vision tracks with a high likelihood of occlusion and therefore, not useful for tracking. The disclosed techniques may provide improved perception data more closely representing multiple complex data sets for a vehicle for preventing a collision with an occluded object as the vehicle operates in an environment.

Occlusion Constraints for Resolving Tracks from Multiple Types of Sensors
20230046396 · 2023-02-16 ·

This document describes techniques for using occlusion constraints for resolving tracks from multiple types of sensors. In aspects, an occlusion constraint is applied to an association between a radar track and vision track to indicate a probability of occlusion. In other aspects, described are techniques for a vehicle to refrain from evaluating occluded radar tracks and vision tracks collected by a perception system. The probability of occlusion is utilized for deemphasizing pairs of radar tracks and vision tracks with a high likelihood of occlusion and therefore, not useful for tracking. The disclosed techniques may provide improved perception data more closely representing multiple complex data sets for a vehicle for preventing a collision with an occluded object as the vehicle operates in an environment.

VEHICULAR KNOWLEDGE NETWORKING ASSISTED ADAS CONFIGURATION

A method includes receiving first data from one or more vehicles in a geographic area, the first data indicating operation of an active safety system by at least one of the one or more vehicles, receiving second data indicating driving performance of the one or more vehicles, determining whether the driving performance of the one or more vehicles in the geographic area is improved or diminished by the use of the active safety system based on the first data and the second data, and transmitting a signal to a vehicle approaching the geographic area to cause the vehicle approaching the geographic area to activate or deactivate the active safety system based on the determination.

VEHICULAR KNOWLEDGE NETWORKING ASSISTED ADAS CONFIGURATION

A method includes receiving first data from one or more vehicles in a geographic area, the first data indicating operation of an active safety system by at least one of the one or more vehicles, receiving second data indicating driving performance of the one or more vehicles, determining whether the driving performance of the one or more vehicles in the geographic area is improved or diminished by the use of the active safety system based on the first data and the second data, and transmitting a signal to a vehicle approaching the geographic area to cause the vehicle approaching the geographic area to activate or deactivate the active safety system based on the determination.

SYSTEM AND METHOD OF DETECTING AND MITIGATING ERRATIC ON-ROAD VEHICLES

A system and method of detecting and mitigating an erratic vehicle by a host vehicle. The method includes gathering sensor information on a calibratable external region surrounding the host vehicle; analyzing the sensor information to detect a target vehicle traveling in a lane and a movement of the target vehicle in the lane; determining whether the movement of the target vehicle in the lane is erratic; if erratic then designating target vehicle as erratic vehicle; assigning a risk score to the erratic vehicle; and implementing a predetermined mitigating action correlating to the assigned risk score to the erratic vehicle. The mitigating action includes one or more of: warning an operator of the host vehicle, warning a vehicle proximal to the host vehicle, and taking at least partial control of the host vehicle to further distance the host vehicle apart from the erratic vehicle.

SYSTEM AND METHOD OF DETECTING AND MITIGATING ERRATIC ON-ROAD VEHICLES

A system and method of detecting and mitigating an erratic vehicle by a host vehicle. The method includes gathering sensor information on a calibratable external region surrounding the host vehicle; analyzing the sensor information to detect a target vehicle traveling in a lane and a movement of the target vehicle in the lane; determining whether the movement of the target vehicle in the lane is erratic; if erratic then designating target vehicle as erratic vehicle; assigning a risk score to the erratic vehicle; and implementing a predetermined mitigating action correlating to the assigned risk score to the erratic vehicle. The mitigating action includes one or more of: warning an operator of the host vehicle, warning a vehicle proximal to the host vehicle, and taking at least partial control of the host vehicle to further distance the host vehicle apart from the erratic vehicle.

Autonomous vehicle operation feature monitoring and evaluation of effectiveness

Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, operating data may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and/or control decisions made by the features. The control decisions may include actions the feature would have taken to control the vehicle, but which were not taken because a vehicle operator was controlling the relevant aspect of vehicle operation at the time. The operating data may be recorded in a log, which may then be used to determine risk levels associated with vehicle operation based upon risk levels associated with the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.

Incorporating rules into complex automated decision making
11579614 · 2023-02-14 · ·

A set of input conditions is obtained. A plurality of potential decisions is obtained based at least in part on the set of input conditions. A rule-based system is used to process the plurality of potential decisions and obtain a set of one or more updated potential decisions, wherein: the rule-based system specifies a plurality of rules; a rule specifies a rule condition and a corresponding action, wherein when the rule condition is met, the corresponding action is to be performed; and using the rule-based system to process the plurality of potential decisions includes: for a selected potential decision in the plurality of potential decisions, determining whether the rule condition is met for a selected rule among the plurality of rules, wherein the selected rule condition is dependent on, at least in part, the selected potential decision; and in response to the selected rule condition being met, performing the corresponding action. The set of one or more updated potential decisions to be executed is output.