A vehicle control system and method includes obtaining a size of a vehicle system, identifying locations of different portions of the vehicle system, and determining one or more of a) whether the vehicle system is disposed within or across an intersection of routes or b) a predicted time of arrival at which the vehicle system will be disposed within or across the intersection based on the size of the vehicle system and the locations of the different portions of the vehicle system.

An automotive system providing method for detecting a road in an abnormal state based on a measured value of an acceleration sensor mounted on a vehicle includes an acceleration sensor measuring a value of gravity acceleration acting on a vehicle; a position measuring sensor measuring a position of the vehicle; a memory in which the measured value of the gravity acceleration and the position of the vehicle at a time point at which the gravity acceleration is measured are stored; and a controller electrically connected to the acceleration sensor, the position measuring sensor and the memory and configured for determining a road corresponding to the position where the value of the gravity acceleration is measured as being in an abnormal condition when the controller concludes that a difference value between the value of the gravity acceleration measured during operation of the vehicle and a reference acceleration value added to the value of the gravity acceleration to correct the value of the gravity acceleration as a zero reference point is out of a predetermined threshold range.

Systems and methods are provided for intelligent driving monitoring systems, advanced driver assistance systems and autonomous driving systems, and providing alerts to the driver of a vehicle, based on anomalies detected between driver behavior and environment captured by the outward facing camera. Various aspects of the driver, which may include his direction of sight, point of focus, posture, gaze, is determined by image processing of the upper visible body of the driver, by a driver facing camera in the vehicle. Other aspects of environment around the vehicle captured by the multitude of cameras in the vehicle are used to correlate driver behavior and actions with what is happening outside to detect and warn on anomalies, prevent accidents, provide feedback to the driver, and in general provide a safer driver experience.

A method for processing behavior data, a method for controlling an autonomous vehicle, apparatuses thereof, a device, a storage medium, a computer program product, and an autonomous vehicle are provided. The method includes: acquiring historical driving data, the historical driving data comprising lane-level navigation data; and performing data mining on the historical driving data to obtain driving feature information, the driving feature information comprising at least one of: a lane-change position feature, a traveling speed feature, or a traveling path feature.

An ADS performs processing including setting an initial value of a wheel steer angle command when an autonomous state has been set to an autonomous mode, obtaining a limitation of a rate, setting a wheel steer angle limitation as the wheel steer angle command when magnitude of the initial value is larger than the wheel steer angle limitation, and transmitting the wheel steer angle command.

A control system includes one or more processing circuits comprising one or more memory devices coupled to one or more processors. The one or more memory devices are configured to store instructions thereon that, when executed by the one or more processors, cause the one or more processors to acquire speed data regarding current speeds of tractive elements of the vehicle from tractive element speed sensors of the vehicle, determine speed references for the tractive elements to perform autonomous driving operations where the speed references indicate speeds at which each of the tractive elements should rotate to accommodate the autonomous driving operations, and control at least one of a driveline or a brake system of the vehicle to selectively alter the current speeds of the tractive elements of the vehicle based on the current speeds and the speed references to accommodate the autonomous driving operations.

A backend for a hazard detection system comprising: a processor; and a memory in communication with the processor, the memory storing a set of instructions. The set of instructions, when accessed and executed by the processor, cause the processor to: receive vehicle and/or driver data from a vehicle, evaluate the received vehicle and/or driver data, use the evaluation as a basis for detecting a hazard in road traffic, and send the information about the detected hazard to at least one vehicle to warn said vehicle about the hazard.

The present disclosure relates to a traveling route generating device including: a driving information obtaining unit to obtain position information and speed information on a vehicle with a plurality of timings when a driver manually drives the vehicle; a traveling route creating unit to create a traveling route of the vehicle manually driven, using the position information and the speed information obtained by the driving information obtaining unit; a speed limit information obtaining unit to obtain speed limit information on a road through which the vehicle has traveled; and a traveling route modifying unit to modify the speed information on the traveling route based on the speed limit information obtained by the speed limit information obtaining unit to generate a modified traveling route.

This route prediction device includes: an information acquisition circuitry to acquire a position and a speed of an own vehicle, positions and speeds of surrounding vehicles traveling around the own vehicle, and map information around the own vehicle; a cut-in determinator to determine whether or not the surrounding vehicle will cut in onto a traveling lane of the own vehicle, on the basis of an inducing factor of inducing cut-in of another vehicle; an assumptive vehicle setting circuitry to determine a traveling position, on a road, of an assumptive vehicle assumed to influence traveling of a cut-in vehicle determined to cut in, among the surrounding vehicles, using road information obtained from the map information; and a route prediction circuitry to predict a traveling route of one of the surrounding vehicles, on the basis of the traveling position of the assumptive vehicle, and so forth.

A method, a computer program, and an apparatus for invoking a tele-operated driving session and a transportation vehicle equipped with an automated driving function using the method or apparatus. An impending situation that requires a tele-operated driving session is identified, a quality of service for a communication between the transportation vehicle and a control center is predicted for a location where the tele-operated driving session will be performed, the speed of the transportation vehicle is reduced to a maximum drivable speed for a tele-operated driving session with the predicted quality of service, and the tele-operated driving session is initiated.