The present disclosure provides a spatial parking place detection method and device, a storage medium and a program product, which relate to the field of data processing and, in particular, to the fields of computer vision, autonomous parking and autonomous driving. A specific implementation lies in: acquiring ultrasonic data around a vehicle collected by an ultrasonic sensor on the vehicle, and image data around the vehicle collected by an image collection apparatus; determining a first spatial parking place around the vehicle according to the ultrasonic data, and determining a second spatial parking place around the vehicle according to the image data; fusing the first spatial parking place and the second spatial parking place that are located at an identical position to determine a spatial parking place at that position; and checking the availability of the detected spatial parking place, and determining available spatial parking places of the vehicle.

This document describes spatial and temporal processing of ultrasonic-sensor detections for mapping in vehicle-parking-assist functions. Specifically, spatial intersections, which are determined from a pair of neighboring ultrasonic sensors having ultrasonic detections at substantially the same time, can address latency issues associated with temporal intersections and can be determined without the vehicle moving. Temporal intersections can address situations when one sensor of the pair of neighboring ultrasonic sensors has an ultrasonic detection while the other sensor does not. Using both the spatial and temporal intersections provides high accuracy for angular information, which enables enhanced mapping and efficient performance of vehicle-parking-assist functions.

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 parking assist device provides control over a subject vehicle of interest such that the subject vehicle parks into a target parking location, based on information obtained by recognizing surroundings of the subject vehicle. The parking assist device includes: a parking available position detection part configured to detect one or more parking available locations each of which is a location available for the subject vehicle to park, based on the recognition information; and a target parking position determination part configured to, when the parking available position detection part detects a plurality of the parking available locations, extract a prescribed number or a smaller number of candidate parking locations from among the detected parking available locations, based on a distance between a current location of the subject vehicle and each of the parking available locations, display the extracted candidate parking locations in a display device, and selects a target parking location from among the displayed candidate parking locations.

A method for autonomous driving includes detecting an environment around a vehicle, autonomously driving the vehicle based on the detected environment, determining whether a target parking position has been set, determining an autonomous driving mode of the vehicle from among a first mode for controlling a speed of the vehicle to move the vehicle to the target parking position and a second mode for searching for an available parking position, based on a determination of the autonomous driving mode from among the first and second modes, autonomously driving the vehicle in one of the first and second modes, based on autonomously driving the vehicle in one of the first and second modes, determining whether a condition is satisfied, and based on a determination that the condition is satisfied, switching the autonomous driving mode to the other of the first and second modes.

A parking control device includes a detector and a determiner. The detector receives, from an ultrasonic sensor which transmits an ultrasonic wave and receives a reflected wave corresponding to the ultrasonic wave, a signal based on the reflected wave. The detector further detects a detection point group being an aggregate of a plurality of detection points of two parked vehicle groups adjacent to a parking space between the two parked vehicle groups, based on the signal. The determiner determines whether the parking space is an end-on parking space or a parallel parking space based on a position of at least a depression shape in at least a contour pattern being a pattern of the detection point group.

This measurement device is provided with: a relative velocity calculation unit that calculates the relative velocity of an object with respect to a mobile body or the relative velocity of the mobile body with respect to the object on the basis of a sound wave which is transmitted to the object from a transmission unit provided to the mobile body and a reflected wave that results from reflection of the transmitted sound wave on the object and that is received by a reception unit provided to the mobile body; a flight time measurement unit that measures flight time which is the time required for a transmitted ultrasonic wave to reflect on the object and to reach the reception unit; and a position identification unit that identifies the position of the object on the basis of the relative velocity and the flight time.

A method, a device and a computer-readable storage medium with instructions for processing data in a motor vehicle for forwarding to a back end. In a first step, sensor data are detected along a route of the motor vehicle. On the basis of the sensor data, features and context information on the features are then identified within segments of the route. Finally, the features and the context information on the features are combined into a message for the route.

The invention relates to a method for at least semi-autonomously manoeuvring a motor vehicle (1), in which a sensor (4) is used to determine a position value describing a current relative position between an object (8) in an area (7) surrounding the motor vehicle (1) and the motor vehicle (1), a driving trajectory (13) is determined, the motor vehicle (1) is manoeuvred along the determined driving trajectory (13), the position value is continuously updated during manoeuvring of the motor vehicle (1) on the basis of odometry, and contact between at least one wheel of the motor vehicle (1) and the object (8) is detected, wherein the position value is corrected if the contact between the at least one wheel and the object (8) is detected and the position value describes a relative position which differs from the contact between the at least one wheel and the object (8).

A parallel running vehicle detecting apparatus is provided, which includes a first distance sensor for detecting distance of an object in a first detection area on a rear lateral side of a vehicle, a second distance sensor for detecting distance of an object in a second detection area, a parallel running vehicle detector for detecting a parallel running vehicle based on detections of the first and second distance sensors, and a storage for storing a detection distance history of the second distance sensor. The parallel running vehicle detector is provided with multiple determination conditions for determining whether the object detected by the first distance sensor is the parallel running vehicle, and changes the parallel running vehicle determination condition based on the detection distance history stored in the storage.