While operating a host vehicle in a first lane on a road, respective first statistical probabilities of a) an average speed of a plurality of vehicles, including the host vehicle, operating in the first lane, b) an average distance between the vehicles operating in the first lane, and c) an average number of braking events performed by the vehicles operating in the first lane are determined based on sensor data. A high traffic density probability for the road is determined based on the first statistical probabilities. A host vehicle assist feature is transitioned between an enabled state and a disabled state based on the high traffic density probability for the road being greater than a threshold probability.

A vehicular control system determines a planned path of travel for a vehicle along a traffic lane in which the vehicle is traveling on a road. The system determines a respective target speed for waypoints along the planned path that represents a speed the vehicle should travel when passing through the respective waypoint. The system determines a speed profile for the vehicle to travel at as the vehicle travels along the planned path, with at least two different speeds being based on a difference in target speeds of at least two consecutive respective waypoints of the plurality of waypoints. The system determines an acceleration profile for the vehicle to follow as it changes from one speed to another speed of the speed profile. The system controls the vehicle to maneuver the vehicle along the planned path in accordance with the determined speed and acceleration profiles.

Technologies and techniques for automatically preparing and/or executing a possible lane change with an ego vehicle traveling in moving traffic from a first lane to a second lane of a multi-lane roadway by means of a driver assistance system and to a driver assistance system. Gaps are detected between two vehicles, and the relative positions and movements of the gaps relative to the ego vehicle will facilitate a potential lane change of the ego vehicle. The driver assistance system adjusts the following distance and/or following speed of the ego vehicle relative to the vehicle ahead in such a way that changing a lane and merging into a gap of an adjacent lane is possible by means of a transverse guidance of the ego vehicle.

Methods, devices and systems enable controlling an autonomous vehicle by identifying a vehicle that is within a threshold distance of the autonomous vehicle, determining an autonomous capability metric (ACM) the identified vehicle, determining whether the ACM of the identified vehicle is greater than a first threshold, determining whether the ACM of the identified vehicle is less than a second threshold, and adjusting a driving parameter of the autonomous vehicle so that the autonomous vehicle is more or less reliant on the capabilities of the identified vehicle based on whether the ACM of the identified vehicle exceeds the thresholds.

A navigation system for a host vehicle is provided. The system may comprise at least one processing device programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify at least one vehicle-induced occlusion zone in an environment of the host vehicle; and cause a navigational change for the host vehicle based, at least in part, on a size of a target vehicle that induces the identified occlusion zone.

A computer includes a processor and a memory, and the memory stores instructions executable by the processor to determine that a vehicle is carrying a load; in response to an activation of an adaptive cruise control while the vehicle is carrying the load, operate the adaptive cruise control according to a set of parameters, the parameters being based on the load; while the adaptive cruise control is inactive and the vehicle is carrying the load, determine an expected operation of the adaptive cruise control, the expected operation being how the adaptive cruise control would operate according to the set of the parameters if active; and adjust at least one of the parameters based on a comparison of the expected operation with an actual operation performed by an operator of the vehicle.

A control system having an ACC control, which for use in a host motor vehicle (ego) is configured and intended for recognizing a preceding motor vehicle (alter) and preferably preceding objects, based on surroundings data obtained from at least one front camera sensor associated with the host motor vehicle (ego). The front camera sensor (FKS) is configured for providing to an electronic control unit of the control system the surroundings data that represent an area in front of the host motor vehicle (ego). The control system is at least configured and intended for detecting another motor vehicle (alter) in traffic that is in front of the host motor vehicle (ego), by means of the at least one front camera sensor (FKS), determining a distance between the host motor vehicle (ego) and the preceding motor vehicle (alter), based on data from the front camera sensor (FKS), determining a relevant difference in length (Diff.sub.rel), based on the last determined distance (A.sub.t-1) and the instantaneously determined distance (A.sub.t), determining a distance (A.sub.ACC) to be used by the ACC control, based on the relevant difference in length (Diff.sub.rel) and the instantaneously determined distance (A.sub.t), determining a measure of the criticality of the determined distance between the host motor vehicle (ego) and the preceding motor vehicle (alter), and outputting the distance (A.sub.ACC) to be used to the ACC control of the host vehicle (ego) when the measure of the criticality deviates significantly from a limit value.

A system and a method for adjusting a yielding space of a platoon are provided. The system can include camera modules, sensors, interface circuitry, processing circuitry, and memory. The sensors can detect one or more behaviors of one or more vehicles adjacent to the platoon. The processing circuitry can determine one or more triggering events between the one or more vehicles and the platoon based on the one or more behaviors. The processing circuitry can adjust the yielding space of the platoon.

Methods, devices and systems enable controlling an autonomous vehicle by identifying a vehicle that is within a threshold distance of the autonomous vehicle, determining an autonomous capability metric (ACM) the identified vehicle, determining whether the ACM of the identified vehicle is greater than a first threshold, determining whether the ACM of the identified vehicle is less than a second threshold, and adjusting a driving parameter of the autonomous vehicle so that the autonomous vehicle is more or less reliant on the capabilities of the identified vehicle based on whether the ACM of the identified vehicle exceeds the thresholds.

The application relates to a driver assistance system for a motor vehicle, comprising a distance measuring system for determining the distance from a preceding vehicle, or an interface by means of which, when properly installed in the motor vehicle, such a distance measuring system of the motor vehicle is signal-connected. The driver assistance system for the motor vehicle includes a controller, configured to keep the motor vehicle at a specified target vehicle speed in an automatic mode and to not allow a distance from the preceding vehicle to fall below a specified target distance The controller is further configured to set a new situation-specific target distance on the basis of at least one ambient parameter detected by sensors. The controller is additionally configured to adopt a new user-specific target distance in response to an input from a vehicle occupant, and to identify a current driving situation and an end of the current driving situation, and to adopt the new target distance solely for the duration of the current driving situation when driving behind another vehicle.