The invention relates to a method for operating an environment-monitoring system for a motor vehicle, by means of which the positions of objects in the environment laterally adjacent to, in front of, and behind the vehicle are determined. According to the invention, in order to improve the accuracy of the environment-monitoring system, the motion path is determined for a stationary object which the vehicle passes, and said motion path is used to determine the angular deviation with which the motion path determined for the stationary object deviates from the motion path of the vehicle.

According to a control method for a hybrid vehicle that is caused to run by a drive motor as a load being supplied with electric power of a battery and electric power generated by an electric generator, a total distance to empty is calculated on the basis of a shortage of a generating power output of the electric generator with respect to a required running power output and an amount of charge remaining in the battery. Specifically, a length of time for which the shortage of the generating power output of the electric generator with respect to the required running power output is covered by the amount of charge remaining in the battery is calculated, and a distance that the hybrid vehicle can run for this length of time is set as a total distance to empty.

The present disclosure relates to a vehicle control method, a vehicle control device, and a vehicle control system including same. Specifically, a vehicle control device according to the present disclosure includes: a vehicle travel route estimation unit which estimates a first travel route of a vehicle on the basis of the turn radius and traveled distance of the vehicle, when the speed of the vehicle is equal to or less than a preset speed; a target travel route predicter which confirms a target from periphery detection information about the periphery of the vehicle, and predicts a second travel route of the target; a collision determiner which determines whether there is a possibility of a collision between the vehicle and the target; and a vehicle control unit which controls to perform at least one among an alert control, a brake control, and an avoidance control, when there is a possibility of a collision between the vehicle and the target.

A method for providing rest information based on a rest pattern of a driver and an apparatus therefor are disclosed. A rest information providing method according to an embodiment of the present disclosure determines a fatigue degree and provides rest information to a driver. Here, the rest information is previously analyzed rest information preferred by the driver, and thus vehicle use satisfaction of the driver can be improved. An autonomous vehicle of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

A vehicle control apparatus based on a precise load level using a GPS includes: a load level calculator to determine a load level of a road based on GPS information; a load level controller that classifies the road into a plurality of regions based on the determined load level and differentially controls an engine power output for each of the regions; and a storage to store a map for the engine power output for each of the regions.

An autonomous driving control apparatus may include a processor configured to determine a wear degree of a tire of a vehicle based on image data of the tire during autonomous driving of the vehicle, and to perform vehicle control depending on the wear degree of the tire; and a storage electrically connected to the processor and configured to store the image data and algorithms driven by the processor.

A system and method for actuating a vehicle operation power mode that include receiving sensor data from at least one sensor of a vehicle. The system and method also include determining if at least one vehicle operation requirement is met based on analysis of the sensor data and actuating an electric powered operation mode of the vehicle based on determining that the at least one operation requirement is met. The system and method further include controlling the vehicle to be powered by electrical power supplied by an electric battery of the vehicle based on the actuation of the electric powered operation mode.

Upon determining a first vehicle is moving on a two-way road in a first direction of travel in an only lane of the two-way road, vehicle sensor data is input to a first neural network that identifies a yield area along the two-way road via image segmentation. A second vehicle is detected traveling toward the first vehicle on the only lane of the two-way road. Then, upon determining the first vehicle is to yield to the second vehicle, one or more vehicle components are actuated to move the first vehicle to the yield area.

Embodiments of the present disclosure relate to the technical field of autonomous driving, and in particular to methods for updating an autonomous driving system, autonomous driving systems, and on-board apparatuses. In the embodiments of the present disclosure, the autonomous driving system, even when in a manual driving mode, also senses the surrounding environment of a vehicle, performs vehicle positioning, and plans a path for autonomous driving for the vehicle according to environment sensing information, positioning information, and data of vehicle sensors. However, the autonomous driving system does not issue an instruction to control the driving of the vehicle. Instead, it compares the path with a path along which a driver drives the vehicle in the manual driving mode to update a planning and control algorithm of the autonomous driving system. As such, the updated autonomous driving system better caters to the driving habits of the driver and improves the driving experience for the driver without compromising the reliability of planning and decision-making of autonomous driving.

A computer-implemented method includes determining a vehicle configuration indicative of a towing mode setting for the vehicle, which can include a neutral transmission gear setting, a battery conservation mode, or another towing mode setting. The method can include determining at least one vehicle operation characteristic that changes with time while the vehicle is in the towing mode setting, and performing, via a vehicle control module and based at least in part on the towing mode setting and the vehicle operation characteristic, one or more vehicle actions that include generating an alert signal indicative that vehicle damage may occur.