One embodiment of the present invention predicts a vehicular event relating to machinal performance using information obtained from interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud data. The process of predication is able to activate interior and exterior sensors mounted on a vehicle operated by a driver for obtaining current data relating to external surroundings, interior settings, and internal mechanical conditions of the vehicle. After forwarding the current data to VOC to generate a current vehicle status representing real-time vehicle performance in accordance with the current data, retrieving a historical data associated with the vehicle including mechanical condition is retrieved. In one aspect, a normal condition signal is issued when the current vehicle status does not satisfy with the optimal condition based on the historical data. Alternatively, a race car condition is issued when the current vehicle status meets with the optimal condition.

A vehicle localization method and device, an electronic device and a storage medium. The vehicle localization method includes: acquiring an image of a scene where a vehicle is located, the image comprising a semantic element; determining an element category corresponding to the semantic element; matching the semantic element with a map element to acquire a matching result by a matching method corresponding to the element category; and determining localization information of the vehicle according to the matching result.

A parking assist method according to the present disclosure is for performing autonomous driving of a vehicle on the basis of teacher driving by a driver. The parking assist method includes acquiring, from an imaging device installed in the vehicle, captured images obtained by imaging periphery of the vehicle in time series according to movement of the vehicle during the teacher driving. The method includes recording a travel route of the vehicle in the teacher driving, and generating, on the basis of the captured images, a first enlarged overhead image of a display target range viewed from above. The display target range covers the travel route and periphery of the travel route. The method further includes causing a display device to display the first enlarged overhead image.

A parking assist system includes a control device configured to control screen display of a display device, to set the parking position candidate selected by an occupant as a target parking position, and to control an autonomous parking operation to autonomously move the vehicle to the target parking position. When multiple parking position candidates partially overlapping with each other are detected by a parking position candidate detector, the control device causes the display device to display the multiple parking position candidates so as to partially overlap with each other and to be selectable.

A method for recognizing a parking space for a vehicle and a parking assistance system are disclosed. An obstacle is identified from successive image frames captured when the vehicle is moving and a first boundary for the obstacle is generated by a Convolutional Neural Network (CNN) algorithm based on a position of the obstacle shown in each of the successive image frames. Distances between the moving vehicle and the obstacle are detected by ultrasonic sensors. A second boundary for the obstacle is generated by a distance modification module based on the distances between the vehicle and the obstacle. A periphery of the obstacle is defined by a periphery definition module. In view of the periphery of the obstacle, a parking space is thus recognized by a parking space recognition module. The parking process can be changed to a self-drive mode, and remotely controlled by a mobile device.

A vehicle driving assist system includes a controller and a display. The controller is configured to generate a bird’s-eye view image based on information on images around a vehicle, respectively captured by cameras, and acquire a target route from a current location of the vehicle to a target stop location set by a driver. The display is configured to display the bird’s-eye view image and the target route and allow the driver to use the bird’s-eye view image to set a no entry area. The controller is configured to, when the controller determines that the vehicle enters the no entry area if the vehicle moves along the target route, correct the target route such that the vehicle does not enter the no entry area and cause the vehicle to move to the target stop location along the corrected target route and stop at the target stop location.

A parking assistance device includes a parking region detection unit configured to periodically detect a parking-possible space in which the own-vehicle can be parked based on a result of detection by an external image capturing camera and a sonar configured to periodically detect the status of surroundings of the own-vehicle, a candidate region selection unit configured to select a parking candidate space as a parking candidate for the own-vehicle among the parking-possible spaces detected by the parking region detection unit, and a display control unit configured to cause a touch panel to display a surrounding image in which a parking position image illustrating a parking position is superimposed on the parking candidate space selected by the candidate region selection unit, and the candidate region selection unit continuously selects, as the parking candidate space, the parking-possible space corresponding to the selected parking candidate space for a predetermined duration.

A parking control method includes: performing parking control of moving a vehicle to a target parking position on the basis of an operation command acquired from an operator located outside the vehicle; when the parking control to the target parking position is suspended and the vehicle leaves the target parking position, calculating a moving direction of the vehicle on the basis of a parking direction when the vehicle is parked at a next target parking position; and moving the vehicle in the moving direction.

The invention relates to a method for determining a parking position for a motor vehicle, wherein a perpendicular parking space is detected by means of a sensor system of the motor vehicle, and a parking space data set characterizing the perpendicular parking space is provided to a control unit of the motor vehicle, and the parking position is determined by the control unit by using the parking space data set, as well as by using an access parameter of the motor vehicle that characterizes a possible opening of at least one folding element of the motor vehicle. The invention provides that the parking position is established using an additional access parameter of an additional motor vehicle that is parked adjacent to the parking position. Moreover the invention relates to a driver assistance system and a motor vehicle.

Aspects relate to methods and systems for parking a vehicle. An exemplary system includes a first plurality of sensors located on the vehicle and configured to detect first sensor data as a function of objects over a first height range, a second plurality of sensors located on the vehicle and configured to detect second sensor data as a function of objects over a second height range at least partially greater than the first height range, and a computing device configured to receive the first sensor data from the first plurality of sensors and the second sensor data from the second plurality of sensors, and determine the space proximal the vehicle is suitable for parking the vehicle as a function of the first sensor data, the second sensor data, and a height of the vehicle.