A method includes, in response to an ignition on signal: determining, using one or more sensors, whether a host vehicle is moving from a first lane to a second lane; determining, using one or more sensors, whether an object is in at least one of a blind zone of the host vehicle and in the second lane within a threshold distance of the host vehicle; in response to a determination that an object is in at least one of the blind zone of the host vehicle and in the second lane within the threshold distance of the host vehicle, performing at least one operator assistance maneuver; and, in response to a determination that an object is not in at least one of the blind zone of the host vehicle and in the second lane within the threshold distance of the vehicle, not performing the at least one operator assistance maneuver.

A vehicle control device includes: a three-dimensional object detecting unit, an oncoming vehicle detecting unit, and an erroneous detection determination unit. The three-dimensional object detecting unit detects a three-dimensional object provided between a travel lane in which a host vehicle travels and an opposite lane in which an oncoming vehicle travels. The oncoming vehicle detecting unit detects the oncoming vehicle traveling in the opposite lane. The erroneous detection determination unit determine that the oncoming vehicle detected by the oncoming vehicle detecting unit has been erroneously detected when the oncoming vehicle detected by the oncoming vehicle detecting unit is present within a threshold range from the three-dimensional object detected by the three-dimensional object detecting unit.

A first obstacle colliding with the ADV is detected. A minimum deceleration that is required for the ADV to avoid colliding with a second obstacle within a predetermined proximity of a moving direction is determined. A brake command is generated based on the minimum deceleration. Then, the brake command is applied to the ADV, such that the ADV avoids collision with the second obstacle and softens an impact of the collision with the first obstacle.

A vehicular collision avoidance system includes a forward-viewing camera viewing through the windshield at least forward of the equipped vehicle, a rearward-sensing radar sensor sensing at least rearward of the equipped vehicle, and an electronic control unit. The vehicular collision avoidance system detects vehicles present forward and/or rearward of the equipped vehicle. Responsive to data processing of radar data captured by the rearward-sensing radar sensor, the vehicular collision avoidance system detects another vehicle approaching the equipped vehicle from the rear, determines distance between the equipped vehicle and the other vehicle, and determines speed difference between the equipped vehicle and the other vehicle. Based at least in part on the determined distance between the equipped vehicle and the other vehicle and the determined speed difference between the equipped vehicle and the other vehicle, the vehicular collision avoidance system controls the equipped vehicle to mitigate impact by the other vehicle.

A control device (100) can communicate with a first sensor (300) for detecting an object around a first vehicle and is equipped on the first vehicle (500). The control device (100) includes a first acquisition unit, a second acquisition unit, a detection unit, and a determination unit. The first acquisition unit acquires a sensing result being a result of detecting an object around the first vehicle (500) from the first sensor (300) equipped on the first vehicle (500). The second acquisition unit acquires positional information of a specified object being an object for performance measurement of the first sensor (300). The detection unit detects the specified object existing within a reference distance from the first vehicle (500), by use of positional information of the first vehicle (500) and positional information of the specified object. The determination unit determines performance of the first sensor (300), based on the sensing result of the specified object by the first sensor (300).

A vehicle control system for a semi-autonomous vehicle is provided. The vehicle control system includes a controller coupled to a plurality of sensors positioned within the vehicle and to a heads-up display (HUD). The controller includes a processor in communication with a memory device. The controller receives sensor data from the plurality of sensors, determines the vehicle is turning, identifies, based on the sensor data, a candidate turn path for the vehicle, and identifies an actual turn path for the vehicle. The controller also transmits, to one or more automation systems of the vehicle, a control signal that instructs the automation systems to perform a turn-assist function to reduce a determined deviation between the actual turn path and the candidate turn path and to transmit, to the HUD, a control signal that instructs the HUD to display a notification to a driver of the vehicle of the turn-assist function.

A vehicle control system employing acoustic and impact sensors for sensing acoustics and vibrations at a vehicle to detect environmental conditions and provide appropriate vehicle control and driver warnings according to the environmental conditions. The acoustics may include sounds generated by objects in the external environment surrounding the vehicle or sounds generated by impacts on the vehicle. The vibrations may include vibrations of the vehicle generated by the sounds generated by objects in the external environment surrounding the vehicle or vibrations of the vehicle generated by the impacts on the vehicle.

A scenario aware perception system (10) suitable for use on an automated vehicle includes a traffic-scenario detector (14), an object-detection device (24), and a controller (32). The traffic-scenario detector (14) is used to detect a present-scenario (16) experienced by a host-vehicle (12). The object-detection device (24) is used to detect an object (26) proximate to the host-vehicle (12). The controller (32) is in communication with the traffic-scenario detector (14) and the object-detection device (24). The controller (32) configured to determine a preferred-algorithm (36) used to identify the object (26). The preferred-algorithm (36) is determined based on the present-scenario (16).

In various examples, a current claimed set of points representative of a volume in an environment occupied by a vehicle at a time may be determined. A vehicle-occupied trajectory and at least one object-occupied trajectory may be generated at the time. An intersection between the vehicle-occupied trajectory and an object-occupied trajectory may be determined based at least in part on comparing the vehicle-occupied trajectory to the object-occupied trajectory. Based on the intersection, the vehicle may then execute the first safety procedure or an alternative procedure that, when implemented by the vehicle when the object implements the second safety procedure, is determined to have a lesser likelihood of incurring a collision between the vehicle and the object than the first safety procedure.

A vehicle configured to operate in an autonomous mode can obtain sensor data from one or more sensors observing one or more aspects of an environment of the vehicle. At least one aspect of the environment of the vehicle that is not observed by the one or more sensors could be inferred based on the sensor data. The vehicle could be controlled in the autonomous mode based on the at least one inferred aspect of the environment of the vehicle.