A method for adjusting a safety distance between a first vehicle and a second vehicle preceding the first vehicle at a bunched traffic site by at least one control device is disclosed which includes receiving measurement data of at least one sensor unit with the at least one control device. The method includes evaluating the measurement data of the at least one sensor unit with the at least one control device to identify a bunched traffic site in front of the second vehicle and identifying a safety distance of the first vehicle from the second vehicle, wherein the identified safety distance accounts for a possible reverse motion of the second vehicle. The method further includes establishing the identified safety distance with the at least one control device based upon the identified bunched traffic site. A control device, a computer program and a machine-readable storage medium are further disclosed.

A method and system for detecting one or more living beings in a vehicle. An indication that the engine is off is received via on on-board diagnostics (OBD) device. Whether a first living being is in the front seat area is determined, and whether a second living being is in the back seat area is determined. In response to a determination that a first living being is not in the front seat area and a second living being is in the back seat area, a first temperature reading for a first temperature inside the vehicle is received and a second temperature reading for a second temperature outside the vehicle is received. A delta between the first temperature and the second temperature is computed. If the delta is less than a first threshold, then an alert is sent via the OBD device to a computing device associated with a user.

In an embodiment, a method comprises detecting, at a processor of an autonomous vehicle, a discrepancy between a map and a property sensed by at least one sensor onboard the autonomous vehicle, the property being associated with an external environment of the autonomous vehicle. In response to detecting the discrepancy, and based on the discrepancy, an annotation for the map is generated via the processor. A signal representing the annotation is caused to be transmit to a compute device that is remote from the autonomous vehicle. A signal representing a map update is received from the compute device that is remote form the autonomous vehicle. The map update is generated based on the annotation, the map update (1) including replacement information for a region of the map associated with the annotation, and (2) not including replacement information for a remainder of the map.

A processor unit (3) is configured for accessing speed data of a second vehicle (18), the speed data generated by a sensor of a first vehicle (1). The processor unit is also configured for creating a driving behavior profile of the second vehicle (18) based on the speed data and making a prediction about the future driving behavior of the second vehicle (18) based on the driving behavior profile of the second vehicle (18). Moreover, the processor unit is configured for determining a trajectory for the first vehicle (1) by executing an MPC algorithm, which includes a longitudinal dynamic model of the first vehicle and a cost function, such that the cost function is minimized. The prediction about the future driving behavior of the second vehicle (18) is taken into account in the determination of the trajectory.

Disclosed is a method for determining a position of a motor vehicle by means of a location device of the motor vehicle. First, a first position (x.sub.1) related to an installation point of the location device in the motor vehicle is determined. In order to determine a position suitable for controlling the motor vehicle, with reference to the said first position (x.sub.1) a second position (x.sub.2) related to a center of gravity of the vehicle is determined, in that the first position (x.sub.1) is offset by a distance (a) between the said installation point of the location device and the center of gravity of the vehicle.

The disclosure relates to a control method for driver assistance. The method includes: receiving positioning information of a vehicle; obtaining information about a road structure ahead of the vehicle based on the positioning information; and determining, based on the information about the road structure, whether an alarm for a sharp bend is needed. The disclosure further relates to a control device for driver assistance, a computer storage medium, and a vehicle.

Systems and techniques are described for detecting a lane departure event. In aspects, a method includes obtaining a lateral acceleration value of the vehicle, determining a time-to-lane boundary (TTLB) threshold value using a saturated linear function of the lateral acceleration value of the vehicle, determining a current TTLB value of the vehicle with respect to a lane boundary, comparing the current TTLB value to the TTLB threshold value, and outputting a signal indicative of vehicle proximity to the lane boundary if the current TTLB value satisfies a triggering condition with respect to the TTLB threshold value.

A driving recognition-based regenerative braking control method of an xEV vehicle according to an embodiment of the present invention relates to a driving recognition-based regenerative braking control method of an xEV vehicle which optimally adjusts an amount of regenerative braking using preceding vehicle sensing and driving position information.

A system designed such that a following vehicle performs following travel to follow a leading vehicle is provided. A departure point and a destination point desired by a user of the following vehicle is obtained. Search for the leading vehicle to be followed by the following vehicle is performed based on the departure point and the destination point. A travel plan including a section of the following travel as at least a part of travel between the departure point and the destination point is generated. Information representing the section of the following travel to a user of the leading vehicle is transmitted.

A control device that controls a straddle type vehicle, the control device comprising: a route information acquisition unit configured to acquire information of a scheduled travel route of the straddle type vehicle; a weather information acquisition unit configured to acquire weather information corresponding to the scheduled travel route; a determination unit configured to determine whether the scheduled travel route of the straddle type vehicle is to be affected by weather based on the weather information; and a control unit configured to control a function related to a traveling state of the straddle type vehicle, based on a determination result of the determination unit.