A trajectory setting device that sets a trajectory of a host vehicle includes a first path generation unit configured to generate a first path by assuming all obstacles around the host vehicle to be stationary obstacles, a second path generation unit configured to generate a second path when the moving obstacle is assumed to move independently, a third path generation unit configured to generate a third path when the moving obstacle is assumed to move while interacting with at least one of the other obstacles or the host vehicle, a reliability calculation unit configured to calculate reliability of the second path and reliability of the third path, and a trajectory setting unit configured to set the trajectory for traveling from the first path, the second path, and the third path based on the reliability of the second path and the reliability of the third path.

Methods and systems for operating axles of a vehicle are provided. In one example, a propulsion source of a first axle is operated in a torque control mode at a first torque and a propulsion source of a second axle is operated in a torque control mode at a second torque. Torque of the propulsion sources may be adjusted as a function of steering angle.

A vehicular vision system includes a rearward-viewing camera and a forward-viewing camera disposed at a vehicle. Image data captured by the cameras is provided to the electronic control unit. The electronic control unit sends respective control data to the cameras, and the respective sent control data is stored in respective memory of the cameras. With the respective sent control data stored in the respective memory of the cameras, the electronic control unit sends a trigger signal to the cameras. Responsive to the sent trigger signal, the cameras load operational parameters of the respective stored control data into respective image sensors of the cameras so that the operational parameters of the respective image sensors of the cameras are synchronized. With the operational parameters of the respective image sensors of the cameras synchronized, image data is captured by the respective image sensors and is sent to the electronic control unit.

A vehicular vision system includes a rearward-viewing camera and a forward-viewing camera disposed at a vehicle. Image data captured by the cameras is provided to the electronic control unit. The electronic control unit sends respective control data to the cameras, and the respective sent control data is stored in respective memory of the cameras. With the respective sent control data stored in the respective memory of the cameras, the electronic control unit sends a trigger signal to the cameras. Responsive to the sent trigger signal, the cameras load operational parameters of the respective stored control data into respective image sensors of the cameras so that the operational parameters of the respective image sensors of the cameras are synchronized. With the operational parameters of the respective image sensors of the cameras synchronized, image data is captured by the respective image sensors and is sent to the electronic control unit.

An electric power steering control method. Said method comprises the following steps executed by an EPS system: acquiring an expected control signal sent by an LKA system, the expected control signal comprising an expected angle signal or an expected torque signal; on the basis of vehicle configuration codes, performing compatibility verification on the expected control signal, and acquiring a compatibility verification result; and if the compatibility verification result indicates being compatible, acquiring a target torque value according to the expected control signal, and controlling steering of a power-assisted motor on the basis of the target torque value. Said method uses vehicle configuration codes to perform compatibility verification on expected control signals corresponding to different interface types, and when a compatibility verification result indicates being compatible, controls the operation of a power-assist motor according to a target torque value determined by the expected control signal.

The planning method includes: obtaining a distance map; determining a first horizontal background cost potential field in a near-field range based on the distance map, where the first horizontal background cost potential field is a first repulsion field formed by an obstacle at a horizontal location on the traveling apparatus, the first horizontal background cost potential field includes a target minimum-value point, background costs on two horizontal sides of the target minimum-value point feature monotonicity, and the background cost represents a near-field horizontal collision cost caused by the obstacle at the horizontal location in the near-field range to the traveling apparatus; and determining a current obstacle avoidance path based on the first horizontal background cost potential field. The method for planning an obstacle avoidance path in embodiments of this application enables the traveling apparatus to avoid an obstacle safely and stably in a complex and narrow traffic scenario.

Various embodiments include methods and systems for managing vehicle behavior. In some embodiments, a vehicle processor of the first vehicle may receive dynamic traffic flow feature information relevant to movements of a second vehicle within a predetermined proximity to the host vehicle, determine probabilities of a plurality of potential behaviors of the second vehicle based on the received dynamic traffic flow feature information, predict a future path of the second vehicle, and use the predicted future path of the second vehicle in a vehicle control function. In some embodiments, the vehicle processor of the first vehicle may predict a behavior of a third vehicle based on received intention information about the second vehicle, and may adjust a behavior of the first vehicle based on the predicted behavior of the third vehicle.

Various embodiments include methods and systems for managing vehicle behavior. In some embodiments, a vehicle processor of the first vehicle may receive dynamic traffic flow feature information relevant to movements of a second vehicle within a predetermined proximity to the host vehicle, determine probabilities of a plurality of potential behaviors of the second vehicle based on the received dynamic traffic flow feature information, predict a future path of the second vehicle, and use the predicted future path of the second vehicle in a vehicle control function. In some embodiments, the vehicle processor of the first vehicle may predict a behavior of a third vehicle based on received intention information about the second vehicle, and may adjust a behavior of the first vehicle based on the predicted behavior of the third vehicle.

A trajectory setting device that sets a trajectory of a host vehicle includes a first path generation unit configured to generate a first path by assuming all obstacles around the host vehicle to be stationary obstacles, a second path generation unit configured to generate a second path when the moving obstacle is assumed to move independently, a third path generation unit configured to generate a third path when the moving obstacle is assumed to move while interacting with at least one of the other obstacles or the host vehicle, a reliability calculation unit configured to calculate reliability of the second path and reliability of the third path, and a trajectory setting unit configured to set the trajectory for traveling from the first path, the second path, and the third path based on the reliability of the second path and the reliability of the third path.

A trajectory setting device that sets a trajectory of a host vehicle includes a first path generation unit configured to generate a first path by assuming all obstacles around the host vehicle to be stationary obstacles, a second path generation unit configured to generate a second path when the moving obstacle is assumed to move independently, a third path generation unit configured to generate a third path when the moving obstacle is assumed to move while interacting with at least one of the other obstacles or the host vehicle, a reliability calculation unit configured to calculate reliability of the second path and reliability of the third path, and a trajectory setting unit configured to set the trajectory for traveling from the first path, the second path, and the third path based on the reliability of the second path and the reliability of the third path.