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.

The present invention discloses a system for detecting an obstacle for a vehicle. The system includes an information collection unit that monitors movement information of a vehicle, road information, and location information of the vehicle; a determination unit that determines whether the vehicle enters a special mode in which the vehicle turns and moves backward on a road through the movement information of the vehicle, the road information, and the location information of the vehicle from the information collection unit; and a controller that deactivates a rear monitoring function of either side of the vehicle in response to a determination that the vehicle enters the special mode.

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 method for operating a control device of a motor vehicle driving by automation. The method includes determining a location of the motor vehicle, and acquiring driving-environment data of the motor vehicle, a control characteristic of the control device of the motor vehicle being formed in such a way that a driving behavior of at least one other road user is influenced in defined manner.

A vehicular trailer guidance system includes an electronic control unit (ECU) and a rear backup camera disposed at a vehicle. A human machine interface (HMI) is operable in (i) a trailer left-backup mode, (i) a trailer straight-backup mode and (iii) a trailer right-backup mode. Responsive to selection by the driver of the trailer left-backup mode or trailer right-backup mode, the ECU sets a desired trailer angle of the trailer tongue leftward or rightward to an angle that is commensurate with a driver-selected setting of an input device. Responsive to selection by the driver of the trailer straight-backup mode, the ECU sets the desired trailer angle to a zero degree angle. The ECU, while the vehicle is backing up the trailer, controls the power steering system of the vehicle to steer the vehicle to back up the trailer to have the determined trailer angle coincide with the set desired trailer angle.

Provided herein is a system and method for a vehicle system on a vehicle. The system comprises a server comprising sensor data of stop points, one or more processors, and a memory storing instructions that, when executed by the one or more processors, cause the system to perform: determining, from the stop points, one or more available stop points; selecting, from the one or more available stop points, a stop point based on a criteria; and stopping the vehicle at the selected stop point.

Methods for reversing determination for a vehicle asset are provided. The methods include capturing by a telematics device coupled to the vehicle acceleration data from a three-axis accelerometer, determining by a reversing-determination machine learning mode, a machine-learning-determined reversing indication for the vehicle asset. The reversing-determination machine-learning model being trained by a vehicle reversing indication comprising a vehicle speed and a reverse gear indication.

Aspects of the disclosure provide a method of managing maneuvering of an autonomous vehicle in certain situations. For instance, a state of the autonomous vehicle may be identified, for example by one or more processors of a planning system of a vehicle, a state of the autonomous vehicle. Based on the state of the autonomous vehicle, the one or more processors of the forward planning system may determine whether the autonomous vehicle has become stuck. Based on the determination that the autonomous vehicle has become stuck, engaging a maneuver planning system having one or more processors capable of generating trajectories that allow the autonomous vehicle to maneuver in reverse may be engaged. After engaging the maneuver planning system, a new trajectory for the autonomous vehicle to follow may be generated. The autonomous vehicle may be controlled according to the new trajectory.

A battery discharge limit control system is provided. The system includes a motor driven by receiving the power stored in a battery and a clutch connected to the rotary shaft of the motor. Additionally, an engine includes the rotary shaft connected to the rotary shaft of the motor through the clutch and a transmission changes the rotational speed of the rotary shaft of the motor or the engine based on the input of the shift stage instruction to output the rotational speed to a driving wheel of a vehicle. A controller opens the clutch and drives the motor in the reverse rotation, when the input of the shift stage instruction is a reverse shift stage.

A system for assisting in aligning a vehicle for hitching with a trailer includes an imaging system, a vehicle control system including at least one vehicle sensor, and a controller. The controller controls the vehicle using the vehicle control system to move the vehicle into an aligned position, where a hitch ball on the vehicle is aligned with the coupler, including monitoring a signal from the vehicle sensor and tracking a position of the coupler relative to the hitch ball in image data. When the signal indicates an unintended stopped vehicle state, the controller determines a distance from the hitch ball to the coupler. If the distance is above a predetermined threshold, the controller controls the vehicle control system to cause the vehicle to move. If the distance is below the predetermined threshold, the controller indicates the unintended stopped vehicle state to a driver of the vehicle.