A parking assistance apparatus obtains a target travelling route including a forward section and a backward section and lets a vehicle move along the target travelling route such that the vehicle reaches a target parking position. The parking assistance apparatus execute a collision avoidance processing when an obstacle which is closer than a threshold distance is detected while the vehicle moves along the target travelling route. The distance between the vehicle and a specific region is kept to be larger than a clearance distance while the vehicle moves along the backward section such that the obstacle for the collision avoidance processing which cannot be detected while the vehicle moves along the forward section will not be found while the vehicle moves along the backward section. The specific region is determined on the basis of a detection region of a sensor device for detecting the obstacle and the threshold distance.

A parking assistance apparatus obtains a target travelling route from a present position of a vehicle to a target parking position and controls the vehicle such that the vehicle moves along the target travelling route. The target travelling route is obtained such that the vehicle moves backward to reach the target parking position and the vehicle is moves in a region on the target parking position side of a travelling boundary line. The travelling boundary line is a straight line which is in front of the vehicle located at the target parking position and which is away from a reference position by a boundary distance. The reference position is a position at a front end and at a center in a lateral direction of the vehicle located at the target parking position. The boundary distance is a configurable value changed by a driver of the vehicle.

Disclosed are systems and methods for projecting virtual parking lines in alignment with actual parking lines to facilitate parking within a parking stall defined by the actual parking lines to prevent unnecessary damage to vehicles in an area where the actual parking lines may not exist or be visible. The system identifies the location of the actual parking lines within a defined parking area based on previously recorded actual parking line data as well as localization of the vehicle within the defined parking area relative to the nearby landmarks. Virtual parking lines are generated that correspond with the location of the actual parking lines and are projected in alignment with the actual parking lines to facilitate parking.

Embodiments of the present disclosure disclose a parking space detection method and apparatus, an electronic equipment, a vehicle, and a storage medium, which relate to the field of automatic driving technologies and in particular, to the field of autonomous parking, including: collecting ultrasonic information during a moving process of a vehicle, generating a target grid map, performing feature recognition on the target grid map to obtain a line segment, and generating a parking space according to the line segment and the target grid map. By implementing the present disclosure, a disadvantage of a limited range of application in the prior art caused by that the detection of a parking space requires a travelling direction of a vehicle to be parallel with a side of an obstacle and requires the vehicle to be close to the obstacle is avoided, thereby achieving a relatively wide use and improving detection accuracy.

A path providing device configured to provide a path information to a vehicle includes: a communication unit configured to receive, from a server, map information including a plurality of layers of data, an interface unit configured to receive sensing information from one or more sensors disposed at the vehicle, a processor, and an event data recorder (EDR) configured to store vehicle status information including first sensor data sensed by a first sensor associated with an operation of the vehicle, and second sensor data sensed by a second sensor associated with surrounding information of the vehicle. The processor is configured to determine an optimal path for guiding the vehicle from an identified lane, generate autonomous driving visibility information, update the optimal path based on dynamic information and the autonomous driving visibility information, and include the vehicle status information stored in the EDR in the autonomous driving visibility information.

The disclosure relates to a method and system for providing visual guidance to a driver of a vehicle. The method comprises detecting, by a plurality of sensors of the vehicle, sensor data representing a vehicle environment; dynamically displaying, by a display of the vehicle, a visual representation of the vehicle environment; overlaying the visual representation with one or more first visual elements representing a proposed trajectory of a maneuver of the vehicle within the vehicle environment.

The present disclosure provides a method for parking a vehicle, an electronic device and a medium. The method comprises: acquiring parking environment data of a parking environment related to a vehicle and historical parking data in the parking environment; selecting, according to the parking environment data and the historical parking data, a constraint set for parking the vehicle from a plurality of constraint sets, the plurality of constraint sets corresponding to a corresponding parking risk level; and controlling the vehicle to park according to the selected constraint set.

A vehicle management system manages a vehicle in a management area via communication. The vehicle management system includes one or more processors. The one or more processors are configured to: acquire first vehicle information indicating at least a position of a first vehicle configured to switch between autonomous driving and manual driving; acquire second vehicle information indicating at least a position of a second vehicle that performs at least autonomous driving; determine whether a possibility of collision between the first vehicle being driven manually and the second vehicle being driven autonomously is higher than a first threshold, based on the first vehicle information and the second vehicle information; and when the possibility of collision is higher than the first threshold, instruct the first vehicle being driven manually to impose a driving limitation on the first vehicle.

A method for operating a transportation vehicle, in particular, for driving the transportation vehicle into a predefined parking space, wherein a first trajectory for automated travel of the transportation vehicle into the predefined parking space is stored in a vehicle-side memory device, which trajectory has been detected during manual travel of the transportation vehicle into the predefined parking space and the first trajectory is assigned tolerance values for a deviation from the first trajectory, which is the maximum deviation by which the transportation vehicle deviates from the first trajectory during automated travel into the predefined parking space, wherein, in the case of at least one further instance of manual travel of the transportation vehicle into the predefined parking space, the further trajectory which is travelled along is detected automatically and the first trajectory and the further trajectory are compared with one another.

A cargo detection system for detecting overhanging cargo on a motor vehicle comprises a sensor system configured to provide cargo measurement data for cargo loaded onto the motor vehicle by measuring at least one of exterior dimensions of cargo protruding over an outer edge of the motor vehicle and an opening condition of a tailgate of the motor vehicle. The system further comprises a control device configured to assess, based on the cargo measurement data of the sensor system, whether cargo is overhanging from the motor vehicle and to calculate an updated vehicle length and/or vehicle width for the motor vehicle accounting for the overhanging cargo.