A vehicle control apparatus is provided with: a recognizer configured to recognize a surrounding situation of a host vehicle; a controller programmed to perform a deceleration control when a deceleration target is recognized by the recognizer; and a detector configured to detect a slip of the host vehicle. The controller sets a first controlled variable, which is a controlled variable associated with the deceleration control when the slip of the host vehicle is detected without execution of the deceleration control, so as to suppress an extent of deceleration of the host vehicle, in comparison with a second controlled variable, which is the controlled variable when the slip of the host vehicle is not detected without execution of the deceleration control.

A vehicle, system and a method of operating the vehicle is disclosed. The system includes a first sensor, a second sensor and a processor. The first sensor captures an image of a traffic control device. The second sensor identifies a lane within a road that is occupied by the vehicle. The processor is configured to determine an attribute of the lane occupied by the vehicle, associate a semantic meaning to a motion control signal of the traffic control device, determine a maneuver for the vehicle based on the semantic meaning of the motion control signal and the attribute of the lane occupied by the vehicle, and perform the maneuver at the vehicle.

The present invention relates to a method for avoiding collisions of a moving vehicle with other road users in the surroundings of the vehicle, comprising at least the method steps of: a) detecting, by means of one or more sensors, the vehicle surroundings and the other road users located therein; b) dividing the vehicle surroundings into a plurality of occupied areas; c) classifying the other road users detected in method step a), wherein, by means of the classification, at least one road user group is assigned to each of the other road users; d) prioritising the road user classified in method step c), taking into account both the classification carried out in method step c) and the occupied area defined in method step b), wherein road users from one or more predetermined road user groups in the particular occupied area are given a high priority and road users from other, non-predetermined road user groups in the particular occupied area are given a lower priority; and e) determining the probability of collision of the other road users with the vehicle, wherein the collision probability is determined in accordance with the prioritisation carried out in method step d) and the collision probability of the other road users having a high priority is determined first; f) changing or maintaining the current driving behaviour of the vehicle on the basis of the collision probabilities determined in method step e).

A vehicle detection unit detects a plurality of vehicles traveling in an adjacent lane adjacent to a lane where the one vehicle is traveling, based on a sensor mounted on the vehicle. A speed information acquisition unit acquires speed information of a preceding vehicle traveling ahead of a target vehicle traveling right ahead of the one vehicle in the adjacent lane among the plurality of vehicles. A deceleration factor determination unit determines whether there is a deceleration factor in front of the preceding vehicle. A traveling state determination unit determines whether the target vehicle travels with the flow of traffic based on the speed information of the preceding vehicle and whether there is the deceleration factor.

The invention relates to a method for controlling an at least partially autonomously driving ego vehicle, at least the surroundings, legal driving conditions and the traffic in front of the ego vehicle in a current lane being detected by sensors. The problem addressed by the invention is that of providing an improved method. The problem is solved in that a first query relating to a possible speed is carried out, and a target acceleration is calculated when it is detected that the possible speed is greater than the current speed, and a second query is carried out as to whether there is a vehicle in an adjacent lane within an observation region, whether an acceleration at the calculated target acceleration is carried out, since no vehicle has been detected within the observation region, or whether no acceleration at the target acceleration is carried out, since a vehicle has been detected within the observation region.

The technology provides a sign detection and classification methodology. A unified pipeline approach incorporates generic sign detection with a robust parallel classification strategy. Sensor information such as camera imagery and lidar depth, intensity and height (elevation) information are applied to a sign detector module. This enables the system to detect the presence of a sign in a vehicle's externa environment. A modular classification approach is applied to the detected sign. This includes selective application of one or more trained machine learning classifiers, as well as a text and symbol detector. Annotations help to tie the classification information together and to address any conflicts with different the outputs from different classifiers. Identification of where the sign is in the vehicle's surrounding environment can provide contextual details. Identified signage can be associated with other objects in the vehicle's driving environment, which can be used to aid the vehicle in autonomous driving.

A vehicle control system includes a receiving unit to receive movement information of a plurality of forward vehicles on a road on which a subject vehicle is driven through V2X communication; a sensor to sense a specific forward vehicle, from among the plurality of forward vehicles, that is driven ahead of the subject vehicle; and a control unit to calculate a driving path for the subject vehicle based on the movement information of the plurality of forward vehicles received by the receiving unit and to control driving of the subject vehicle to follow the driving path or the specific forward vehicle.

When a transport is operating, there may be circumstances where the transport may be at least partially compromised and may be less safe than normal. In such situations where the transport is determined as being unsafe, the transport may act to limit the functionality of the transport. An example operation may include confirming that a transport includes at least one component that is not an original or authorized component, and limiting a functionality of the transport when it is determined that the operator of the transport is not associated with the transport.

A method for ascertaining which one of at least two traffic light systems located in the area in front of a motor vehicle is to be observed by this motor vehicle. The ascertainment is performed by evaluating the driving behavior of a vehicle traveling in front as a function of the current light status of the traffic light systems.

A method of operating a vehicle, comprises determining, by a computer located in a first vehicle, that an initial distance between the first vehicle and a second vehicle is less than a first distance or a second distance, where the second vehicle is located in a same lane as and in front of the first vehicle; generating, in response to the determining, a sequence of position values and velocity values for the first vehicle, wherein each of the position values and each of the velocity values are associated with a time value; and causing the first vehicle to increase a distance between the first vehicle and the second vehicle by causing the first vehicle to move or operate according to the sequence of position values and velocity values.