A sensor fusion system and method are disclosed. One or more processors are operable to receive a plurality of object detection measurements from a plurality of sensors. Each of the plurality of object detection measurements are associated with a potential object detection track. A plurality of sensor confidence values associated with each of the plurality of sensors are received. A track confidence value is determined for each of the potential object detection tracks based on the received plurality of object detection measurements and the received plurality of sensor confidence values. An object detection for a potential object detection track that has a determined track confidence value meeting a predetermined detection threshold is then determined, or confirmed, and stored in a memory for subsequent use, and is relatively unaffected by a measurement from a sensor that has a field of view that omits or is occluded with respect to the given object detection track.

A plan creating unit calculates a target inter-vehicle distance from relative speed information indicating relative speed of a preceding vehicle and host vehicle speed information indicating speed of a host vehicle, and creates, using an inter-vehicle distance between the host vehicle and the preceding vehicle indicated by distance information and the target inter-vehicle distance, a distance plan indicating changes over time of the inter-vehicle distance, a speed plan indicating changes over time of the speed of the host vehicle, and an acceleration plan indicating changes over time of acceleration of the host vehicle. A vehicle control unit calculates an acceleration control signal for controlling the acceleration of the host vehicle, using the distance information, the distance plan, the host vehicle speed information, and the speed plan. An instruction integrating unit generates an acceleration instruction using the acceleration control signal and the acceleration plan.

A vehicle control device of an embodiment includes a recognizer configured to recognize a surrounding situation of a vehicle, and a driving controller configured to execute driving control of controlling one or both of a speed and steering of the vehicle on the basis of the surrounding situation recognized by the recognizer, in which the recognizer recognizes a traffic participant present in front of the vehicle and a traffic participant priority section present in a traveling direction of the vehicle, and the driving controller sets a risk area for the traffic participant priority section on the basis of a position and a traveling direction of the traffic participant, and executes the driving control based on the set risk area and the position of the traffic participant.

Systems and methods for protecting a vehicle at an intersection are disclosed herein. One embodiment detects that the vehicle is stopped at the intersection at one of a first position and a second position; detects that a driver of the vehicle is pressing on an accelerator pedal of the vehicle; delays acceleration of the vehicle automatically by a first predetermined period, when the vehicle has been detected at the first position; and delays acceleration of the vehicle automatically by a second predetermined period, when the vehicle has been detected at the second position. Delaying acceleration of the vehicle automatically prevents the vehicle from being struck by a cross-traffic vehicle that has proceeded through the intersection against a first traffic signal in a red-light state.

Techniques for determining predictions on a top-down representation of an environment based on vehicle action(s) are discussed herein. Sensors of a first vehicle (such as an autonomous vehicle) can capture sensor data of an environment, which may include object(s) separate from the first vehicle (e.g., a vehicle or a pedestrian). A multi-channel image representing a top-down view of the object(s) and the environment can be generated based on the sensor data, map data, and/or action data. Environmental data (object extents, velocities, lane positions, crosswalks, etc.) can be encoded in the image. Action data can represent a target lane, trajectory, etc. of the first vehicle. Multiple images can be generated representing the environment over time and input into a prediction system configured to output prediction probabilities associated with possible locations of the object(s) in the future, which may be based on the actions of the autonomous vehicle.

Methods and systems for managing a speed of a vehicle are provided. The methods and systems obtain image data from one or more vision sensors disposed onboard a vehicle. A stopping distance of the vehicle is determined based at least in part on the image data. A moving speed of the vehicle and a speed limit of the vehicle are determined. The speed limit is determined based on the stopping distance that is determined from the image data. The methods and systems control movement of the vehicle based on a difference between the moving speed of the vehicle and the speed limit of the vehicle.

A vehicle control device comprises a unit to detect a distance to an obstacle; a unit to detect a speed of the vehicle; and a reduction support unit to, based on the speed and the distance, perform support for reduction of a speed of the vehicle. The reduction support unit changes the distance at which the reduction support is to be performed between a case where driving during parking and a case where not driving during parking. The distance at which the reduction support is to be performed is, for a first speed range, longer in a case where driving during parking than in a case where not driving during parking, and, for a second speed range, longer in a case where not driving during parking than in a case where driving during parking.

A vehicle including an electric motor has improved operating performance of a brake lamp using regenerative braking. A method of controlling a brake lamp of the vehicle includes determining a tendency of a driver, calculating a corrected mass based on the determined tendency of the driver, and calculating corrected acceleration based on the corrected mass and regenerative braking torque of the electric motor. An on threshold is corrected based on a difference between a requested torque and the regenerative braking torque at a time at which an accelerator pedal is released, and the brake lamp is turned on based on the corrected on threshold and the corrected acceleration.

A travel control apparatus is configured to control a travel of a vehicle so as to travel along a target path. The travel control apparatus is configured to perform: acquiring a change schedule information of a traffic light installed over each of a plurality of merge lanes that merge with a main line and configured to be able to change an indication form between a first indication form permitting the vehicle to merge with the main line and a second indication form instructing the vehicle to stop before a stop line; determining a merge lane on which the vehicle travels among the plurality of merge lanes, based on the change schedule information of a traffic light located in a travel direction of the vehicle; and generating a target path of the vehicle leading to the stop line of the merge lane.

A control system for controlling electrical power consumption from energy storage means by a traction motor of a vehicle caused by a wheel slip event includes: one or more electronic controllers configured to: receive a torque request for the traction motor; determine a current known prevailing speed value of the traction motor; determine a maximum allowable increase in speed of the traction motor of to occur during a latency period associated with the prevailing speed value of the current known speed of the traction motor; determine an electrical power consumption limit in dependence on the torque request, the current known prevailing speed value of the traction motor of the vehicle and the maximum allowable increase in speed of the traction motor; and control torque provision of the traction motor in dependence on the torque request and the electrical power consumption limit.