An autonomous vehicle control system is provided. The control system may include a plurality of cameras to acquire a plurality of images of an area in a vicinity of a vehicle; and at least one processing device configured to: recognize a curve to be navigated based on map data and vehicle position information; determine an initial target velocity for the vehicle based on at least one characteristic of the curve as reflected in the map data; adjust a velocity of the vehicle to the initial target velocity; determine, based on the plurality of images, observed characteristics of the curve; determine an updated target velocity based on the observed characteristics of the curve; and adjust the velocity of the vehicle to the updated target velocity.

To provide stopping assistance, the disclosure relates to a method for operating a motor vehicle, in which a stopping point for the motor vehicle is determined using a sensor device of the motor vehicle. In the method, the motor vehicle determines a need to stop at the stopping point and initiates stopping of the motor vehicle at the stopping point when the need is present. If the need is absent, a control device of the motor vehicle performs a movement of the motor vehicle or issues a message characterizing the absence of the need to a driver of the motor vehicle. The disclosure further relates to a motor vehicle.

Techniques are discussed for controlling a vehicle, such as an autonomous vehicle, based on occluded areas in an environment. An occluded area can represent areas where sensors of the vehicle are unable to sense portions of the environment due to obstruction by another object or sensor limitation. An occluded region for an object is determined by the vehicle as part of an occlusion grid, from the perspective of the vehicle. The vehicle may receive another occlusion grid from another source, such as another vehicle or a remote computing device that stores and distributes occlusion grids. The other occlusion grid may be from a different perspective than the occlusion grid generated by the vehicle, and may include occupancy data for the region that is otherwise occluded from the perspective of the vehicle. The vehicle can be controlled to traverse the environment based on the occupancy data received from the other source.

A start/stop device initiates an automatic activation process of an automatically deactivated drive machine of a motor vehicle, in particular of a motor vehicle with an automatic transmission. The drive machine can be automatically deactivated when the motor vehicle is traveling, and the automatically deactivated drive machine can be activated on the basis of driver actions. The start/stop device is configured to initiate an automatic activation of the drive machine which is automatically deactivated when the motor vehicle is traveling on the basis of a detected drive dynamic desired by the driver.

According to one embodiment, a deadlock detection device includes a combining calculator and a deadlock determiner. The combining calculator performs selecting a mobile vehicle or combined mobile vehicles from among mobile vehicles, based on a traveling path configuration graph and first state information, going forward the selected mobile vehicle to go forward on traveling path configuration graph and combining the selected mobile vehicle to another mobile vehicle or another combined mobile vehicles at a back of the other mobile vehicle or the other combined mobile vehicles, iterating a process of the selecting, the going and combining. The deadlock determiner determines that a deadlock occurs if not all the mobile vehicles have been combined by the combining calculator, and determines that no deadlock occurs if all the mobile vehicles have been combined.

A host vehicle including a plurality of sensors communicably coupled to the host vehicle. Additionally, the host vehicle includes processing circuitry configured to map-match a location of the host vehicle while the host vehicle is operating on a highway, receive obstruction information from the plurality of sensors, the plurality of sensors having a predetermined field of view corresponding to a host vehicle field of view, estimate a driver field of view based on the host vehicle field of view, determine whether a speed of the host vehicle is safe based on the driver field of view and the obstruction information, and modify driver operation in response to a determination that the speed of the host vehicle is not safe based on the driver field of view.

A driving support system includes: an acquisition portion configured to acquire visual-recognition position information on a position where a driver of a vehicle visually recognizes a traffic light; an image acquisition portion configured to acquire a forward image ahead of the vehicle; a traffic-light recognition portion configured to recognize a traffic light included in a forward image; and a notification portion configured to notify the driver of warning when the traffic light is not recognized from the forward image, in a case where the vehicle is present at a position based on the visual-recognition position information.

A method controls a first vehicle in respect of an oncoming second vehicle. The method determines a turning situation of the first vehicle, in which an expected first trajectory of the first vehicle crosses an expected second trajectory of the second vehicle, and controls the first vehicle in such a way that, during the turning situation, a predetermined distance between the vehicles is maintained. The control includes an influencing of the direction of travel of the first vehicle.

Techniques are described that enable automatic emergency braking (AEB) for a path-crossing target when a collision between a host vehicle and the target that is deemed imminent. Based on whether an acceleration of the host vehicle is above a threshold. Based on the acceleration, and, optionally, a location of the target relative to a crossing path (e.g., whether a portion of the target is within a suppression zone), an AEB system of the host vehicle is either activated or not activated, for example, suppressed. This suppression of the AEB system may include gating or nulling an AEB activation signal to prevent an emergency braking event. By managing the AEB system in a path-crossing scenario, many common false-positive AEB events (warnings, alerts, and/or braking) may be avoided. Furthermore, intentional vehicle maneuvers that comply with normal driving etiquette or rules can still be allowed for operator and passenger comfort, without risking safety.

Proceed-or-stop determination apparatus, includes: camera mounted on self-driving vehicle and configured to acquire image in traveling direction of the vehicle; speed acquisition unit configured to acquire traveling speed of the vehicle; position acquisition unit configured to acquire position of the vehicle with respect to stop position corresponding to traffic light in the traveling direction; and controller. The controller is configured to perform: recognizing the traffic light at predetermined cycle based on the image; recognizing lighting state of the traffic light; and determining whether the vehicle should proceed or stop at the predetermined cycle based on the lighting state, traveling speed, and position, when the traffic light is recognized. The controller determines whether the vehicle should proceed or stop further based on previous determination result in previous cycle and the lighting state recognized in the previous cycle.