The present application generally relates to a method and apparatus for obtaining crash or near crash related data in a motor vehicle. In particular, the system is operative to determine a proximity to a railway crossing in response to a vehicle location and a map, to detect an object using a radar, to confirm the presence of the object using a visual detecting system in response to the proximity to the railway crossing being less than a threshold distance, to generate a vehicle control signal in response to confirming the presence of the object using the visual detecting system, and to control an assisted driving equipped vehicle in response to the vehicle control system.

A propulsion and collision avoidance system is associated with a machine operating on the ground, and is configured to determine whether a collision will occur based upon the pose and movement of the machine and the pose of the obstacle. The slope of a straight line between the machine and the obstacle is determined based upon the pose of the machine and the pose of the obstacle, and the slope of the straight line is compared to a slope threshold. A collision alert is generated after determining that a collision will occur and when the slope of the straight line is less than the slope threshold, and continuing propulsion commands are generated to propel the machine along the work surface after determining that a collision will occur and when the slope of the straight line is greater than the slope threshold.

The technology relates to enhancing or extending the field of view of sensors for vehicles configured to operate in an autonomous driving mode. One or more mirrors are used to reflect or redirect beams emitted from onboard sensors that would otherwise be wasted, for instance due to obstruction by a portion of the vehicle or because they are emitted at high pitch angles to the side. The mirrors are also used to redirect incoming beams from the external environment toward one or more of the onboard sensors. Using mirrors for such redirection can reduce or eliminate blind spots around the vehicle. A calibration system may be employed to account for mirror movement due to vibration or wind drag. Each mirror may be a front surface mirror. The mirrors may be positioned on the vehicle body, on a faring, or extending from a sensor housing on the vehicle.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Malfunctions may be detected by receiving sensor data from a plurality of sensors. One of these sensors may be selected for assessment. An electronic device may obtain from the selected sensor a set of signals. When the set of signals includes signals that are outside of a determined range of signals associated with proper functioning for the selected sensor, it may be determined that the selected sensor is malfunctioning. In response, an action may be performed to resolve the malfunction and/or mitigate consequences of the malfunction.

An onboard determination apparatus, comprising a first acquisition unit configured to acquire peripheral information of a self-vehicle detected by a first sensor, a second acquisition unit configured to acquire peripheral information of the self-vehicle detected by a second sensor of a type different from the first sensor, and a determination unit configured to determine a type of an on-road raised object on the periphery of the self-vehicle based on both the peripheral information acquired by the first acquisition unit and the peripheral information acquired by the second acquisition unit.

An apparatus includes a front detection sensor detecting presence of a pedestrian on a driving lane of the vehicle, gaze information of the pedestrian, and a distance and a relative speed between the pedestrian and the vehicle; a vehicle sensor detecting at least one of a speed, an acceleration, a steering angle, a steering angular velocity, or a pressure of a master cylinder of the vehicle; an electronic control unit activating a function of a pedestrian detection and collision mitigation system based on information detected by the front detection sensor and the vehicle sensor; and a warning unit operated to inform a driver of a collision of the pedestrian with the vehicle by controlling the electronic control unit.

Provided are a vehicle lane-changing control method and a vehicle lane-changing control device. The method includes controlling a host vehicle to travel into a neighboring to-be-turned-into lane with a first control rule, acquiring a location relation between the host vehicle and a referential lane line in a real time manner. The referential lane line is located between the host vehicle and the to-be-turned-into lane. The method further includes determining whether the location relation meets a preset changing rule, and controlling an action of the host vehicle with a second control rule corresponding to the preset changing rule in a case that the location relation meets the preset changing rule.

A voice activation system for a vehicle. The voice activation system for a vehicle which has at least one sound panel capable of providing vibrations of a user's voice from the outside of the vehicle into an inside area of the vehicle. A laser listening device is operably connected to the panel for receiving vibrations from a user's voice. A controller receives a pre-identified command of the user from the laser listener and operates an action in the vehicle in response thereto.

Various technologies described herein pertain to labeling sensor data generated by autonomous vehicles. A computing device identifies candidate path plans for an object in a driving environment of an autonomous vehicle based upon sensor data generated by sensor systems of the autonomous vehicle. The sensor data is indicative of positions of the object in the driving environment at sequential timesteps in a time period. Each candidate path plan is indicative of a possible maneuver being executed by the object during the time period. The computing device generates a weighted directed graph based upon the candidate path plans. The computing device determines a shortest path through the weighted directed graph. The computing device assigns a maneuver label to the sensor data based upon the shortest path, wherein the maneuver label is indicative of a maneuver that the object executes during the time period.

The autonomous LC control is started in response to receiving a start instruction of autonomous lane change. When the driver performs a steering intervention in a same direction as a direction of steering requested by the autonomous LC control, and establishment of a stop condition of lane change is not recognized, during execution of the autonomous LC control, the autonomous driving control is continued. When the steering intervention in the same direction is performed, and establishment of the stop condition is recognized, during execution of the autonomous LC control, termination of the autonomous driving control is announced.