Devices, systems, and methods for remote control of autonomous vehicles are disclosed herein. A method may include receiving, by a device, first data indicative of an autonomous vehicle in a parking area, and determining, based on the first data, a location of the autonomous vehicle. The method may include determining, based on a the location, first image data including a representation of an object. The method may include generating second image data based on the first data and the first image data, and presenting the second image data. The method may include receiving an input associated with controlling operation of the autonomous vehicle, and controlling, based on the input, the operation of the autonomous vehicle.

Systems, methods, and other embodiments described herein relate to automatically learning parking preferences for a driver and generating parking recommendations. In one embodiment, a method includes generating training data based at least in part on: 1) trajectory data indicating a trajectory of a vehicle during a plurality of parking events, each in which a driver of the vehicle selected a parking candidate from among a plurality of parking candidates, and 2) attribute data indicating attributes of each of the plurality of parking candidates, removing, from the training data, data associated with at least one available parking candidate based on one or more conditions that indicate the driver did not consider the at least one available parking candidate, and training a decision model, based on remaining training data, to estimate a preferred parking candidate for the driver from among a set of available parking candidates.

The invention relates to a method for detecting at least one object present on a motor vehicle, wherein by way of a control device, at least one camera image is captured by means of a camera, wherein a detection region of the camera is directed to an outer region of the motor vehicle, and partially or entirely to an outer surface of the motor vehicle. The invention proposes that for a clearance test in the at least one camera image, it is checked by an image analysis device of the control device, if at least one predetermined intrinsic structure of the motor vehicle is imaged, and in the event that at least one intrinsic structure cannot be found by the image analysis device, a blocking signal, which indicates that an object is present on the motor vehicle is generated.

Methods, systems, and apparatus for a detection system for a vehicle. The detection system includes at least one of a camera or a sensor. The camera is configured to capture image data of a surrounding environment. The sensor is configured to detect sensor data. The detection system includes an electronic control unit. The electronic control unit is coupled to the camera and is configured to determine that there is an available parking spot or a person is positioned on a side of a road based on the image data or the sensor data. The electronic control unit is configured to provide a location of the available parking spot or the person to another device or to the vehicle.

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.

Devices, systems, and methods for remote control of autonomous vehicles are disclosed herein. A method may include receiving, by a device, first data indicative of an autonomous vehicle in a parking area, and determining, based on the first data, a location of the autonomous vehicle. The method may include determining, based on a the location, first image data including a representation of an object. The method may include generating second image data based on the first data and the first image data, and presenting the second image data. The method may include receiving an input associated with controlling operation of the autonomous vehicle, and controlling, based on the input, the operation of the autonomous vehicle.

A vehicle flow monitoring system for detecting both a car count and direction of movement of vehicles passing a point of interest. The vehicle flow monitoring system generally includes a car counter which may include a microcontroller and a pair of distance sensors. Each of the distance sensors is oriented toward a unique point of interest. Each of the distance sensors includes a threshold distance reading which is used to detect whether a vehicle has passed underneath the car counter. The system may determine direction of travel of the vehicle based on which of the distance sensors is passed by the vehicle first. The microcontroller may assign an Event ID to each time a vehicle passes each of the sensors, with the Event ID being used to identify when and if the vehicle should be counted, or whether a non-vehicle object has passed the car counter.

An approach is provided for mapping a parking facility using multi-modal trajectories collected using mobile device(s). The approach, for example, involves collecting sensor data from sensor(s) of mobile device(s). The sensor data represents the multi-modal trajectories comprising (1) vehicle trajectory segments during which the device(s) traveling into/out of a parking facility, and (2) pedestrian trajectory segments during which the device(s) traveling to/from pedestrian entry/exit point(s) of the parking facility. The approach also involves processing the sensor data to determine semantic event(s) associated with parking in the parking facility based on the multi-modal trajectories. The approach further involves determining parking spot location(s) and/or orientation(s) of the parking facility based on the semantic event(s). The approach further involves generating map data indicating the parking spot location(s) and/or orientation(s). The approach further involves providing the map data as an output.

A parking lot management system for managing a parking lot intended for autonomous vehicles and manually driven vehicles includes: a reservation unit configured to reserve a parking space for an autonomous vehicle; and a reserved parking space notification unit configured to notify a manually driven vehicle in the parking lot of the reserved parking space.

An automatic valet parking system includes a vehicle, a parking server, and a map server. The parking server includes a server-side operation planning portion that generates a server-side operation plan including a route for guiding the vehicle to a target position. The vehicle includes: an operation plan determination portion that determines whether the server-side operation plan is false; an automatic operation control portion that performs automatic operation control according to the server-side operation plan; and an information transmission portion that acquires vehicle-related information about the vehicle and to transmit the vehicle-related information to the parking server when the operation plan determination portion determines that the server-side operation plan is false.