An autonomous vehicle includes a control system, an array of sensors, processing logic, and a switch. The processing logic generates operation instructions based on sensor data and the control system controls the autonomous vehicle based on the operation instructions. The array of sensors generate the sensor data that is related to objects in an external environment. The switch is coupled between the sensors and the processing logic to buffer the processing logic from the sensor data. The switch is further coupled between the processing logic and the control system to provide the operation instructions from the processing logic to the control system. The switch includes a prioritization engine that prioritizes an order of transmission, from the switch to the processing logic, of the first sensor data over the second sensor data based on received vehicle operation data.

An autonomous vehicle includes an array of sensors, a processor, and a switch. The array of sensors generate sensor data related to one or more objects in an external environment of the autonomous vehicle and the processor determines an environmental context. The switch transfers the sensor data from the array of sensors to the processor, where the switch is configured to: (a) receive first sensor data from a first sensor group of the array of sensors; (b) receive second sensor data from a second sensor group of the array of sensors; (c) determine an order of transmission of the first sensor data over the second sensor data in response to the environmental context; and (d) transmit the first sensor data to the processor prior to transmitting the second sensor data based on the order of transmission.

Sensor data is received from an array of sensors configured to capture one or more objects in an external environment of an autonomous vehicle. A first sensor group is selected from the array of sensors based on proximity data or environmental contexts. First sensor data from the first sensor group is prioritized for transmission based on the proximity data or environmental contexts.

A vehicle driver assist system includes an expert evaluation system to fuse information acquired from various data sources. The data sources can correspond to conditions associated with the vehicle as a unit as well as external elements. The expert evaluation system monitors and evaluates the information from the data sources according to a set of rules by converting each data value into a metric value, determining a weight for each metric, assigning the determined weight to the metric, and generating a weighted metric corresponding to each data value. The expert evaluation system compares each weighted metric (or a linear combination of metrics) against one or more thresholds. The results from the comparison provide an estimation of a likelihood of one or more traffic features occurring.

A vehicle driving assist apparatus of the invention starts a collision avoidance steering assist control to automatically steer the vehicle to avoid a collision of the vehicle with the obstacle in response to a driver performing a collision avoidance steering operation for avoiding the collision when there is a possibility that the vehicle collides with the obstacle. The vehicle driving assist apparatus cancels the collision avoidance steering assist control in response to the driver performing a counter collision avoidance steering operation against automatically steering the vehicle intended to be achieved by the collision avoidance steering assist control after a first predetermined time elapses from starting the collision avoidance steering assist control. The vehicle driving assist apparatus continues the collision avoidance steering assist control until the first predetermined time elapses from starting the collision avoidance steering assist control even when the driver performs the counter collision avoidance steering operation.

Sensor data is received from an array of sensors configured to capture one or more objects of an external environment of an autonomous vehicle. A first sensor group is selected from the array of sensors based on vehicle operation data representative of a state of the autonomous vehicle. First sensor data from the first group is prioritized for transmission based on the vehicle operation data.

A controller and a control method are capable of improving safety by automatic emergency deceleration action while suppressing a motorcycle from falling over. One arrangement also obtains a brake system that includes such a controller. In the controller, the control method, and the brake system, a control mode that causes the motorcycle to take the automatic emergency deceleration action is initiated in response to trigger information generated in accordance with peripheral environment of the motorcycle. In the control mode, automatic emergency deceleration that is deceleration of the motorcycle generated by the automatic emergency deceleration action is controlled in accordance with a lean angle of the motorcycle.

A method for selecting and executing at least one reactive action of a vehicle includes a control unit receiving sensor data from a vehicle sensor system; detecting an emergency situation based on the sensor data; performing an evaluation; and selecting and implementing a reactive action for minimizing an accident risk of the vehicle based on the evaluation, where, in the evaluation, sensors that are uninvolved in the detection of the emergency situation are not taken into account or are taken into account at a lower weighting, are operated at a reduced performance, and/or are operated with a reduced scanning range. In addition, a control unit, computer program, and machine-readable memory medium can be provided for implementing the method.

A control unit for a hybrid drive of a vehicle is provided. The hybrid drive includes an internal combustion engine and an electric machine. The hybrid drive is designed in such a way that the electric machine is used for providing a drive torque of the vehicle and for starting the internal combustion engine. The control unit is configured to predict a start time, at which at least a part of the total power of the electric machine is available for a starting process of the internal combustion engine. Furthermore, the control unit is configured to start the internal combustion engine at the predicted start time by way of the electric machine.

An information processing apparatus includes a receiver configured to receive a data set including a requested acceleration as information representing movement of a vehicle in a front-rear direction and any one of a steering angle, a yaw rate, and a rotation radius as information representing movement of the vehicle in a lateral direction from each of a plurality of applications, an arbitration unit configured to perform arbitration of information representing the movement of the vehicle in the front-rear direction and arbitration of information representing the movement of the vehicle in the lateral direction based on a plurality of the data sets received by the receiver, and a first output unit configured to output instruction information for driving an actuator based on an arbitration result of the arbitration unit.