Abstract: Embodiments of the present disclosure provide a method, an apparatus and a device for an illegal vehicle warning. The method includes: detecting an illegal vehicle in a preset area; and performing the illegal vehicle warning on a target vehicle entering the preset area according to vehicle information of a detected illegal vehicle in the preset area. In the embodiments of the present disclosure, the traffic control unit detects the illegal vehicle in the preset area, and the illegal vehicle warning is performed on the target vehicle entering the preset area according to the vehicle information of the detected illegal vehicle in the preset area, thereby avoiding or mitigating the collision of the target vehicle with the illegal vehicle, and improving the traffic safety of the target vehicle.

Abstract: A vehicle-to-infrastructure cooperation information processing method, apparatus, device and an autonomous vehicle are provided. The method includes: acquiring first on-board perception data of a target vehicle, the first on-board perception data including data of an obstacle around the target vehicle sensed by the target vehicle; generating virtual obstacle data for representing the target vehicle according to positioning data of the target vehicle; generating second on-board perception data based on the virtual obstacle data and the first on-board perception data; and fusing the second on-board perception data with roadside perception data to obtain fusion data, the fusion data including all obstacle data in both the second on-board perception data and the roadside perception data, and the obstacle data in the roadside perception data including obstacle data for representing the target vehicle.

Abstract: A method is provided. The method includes: obtaining first environmental information and second environmental information, where the first environmental information and the second environmental information are acquired by different sensors; determining, based on the first environmental information, information about a first lane of a first traffic object in the first environmental information, and determining; and determining whether the first traffic object and the second traffic object have an association relationship.

Abstract: The present disclosure provides an intelligent roadside unit. The intelligent roadside unit includes: a radar configured to detect an obstacle within a first preset range of the intelligent roadside unit; a camera configured to capture an image of a second preset range of the intelligent roadside unit; a master processor coupled to the radar and the camera, and configured to generate a point cloud image according to information on the obstacle detected by the radar and the image detected by the camera; and a slave processor coupled to the radar and the camera, and configured to generate a point cloud image according to the information on the obstacle detected by the radar and the image detected by the camera, in which the slave processor checks the master processor, and when the original master processor breaks down, it is switched from the master processor to the slave processor.

Abstract: The present disclosure describes an intelligent roadside unit and a control method thereof, comprising: a circular camera array, including a plurality of cameras for capturing images in different road directions respectively; a circular radar array, including a plurality of radars for detecting obstacle information in different road directions respectively; and a controller configured to determine whether a vehicle is approaching according to the obstacle information detected by the radars, to turn on a camera corresponding to the radar that has detected the approaching of the vehicle to capture an image, and to control the cameras corresponding to the radars that have not detected the approaching of the vehicle to be in a standby state.

Abstract: Provided are a method for indicating at least one obstacle by a smart roadside unit, a system and a non-temporary computer-readable storage medium. The method includes: detecting the at least one obstacle via a radar to generate an obstacle set; acquiring status information reported by an autonomous vehicle; filtering the obstacle set according to the status information reported by the autonomous vehicle, to remove the autonomous vehicle object from the obstacle set; and sending a filtered obstacle set to the autonomous vehicle.

Abstract: Provided are system and method for controlling traffic lights. The system includes a traffic light device and a smart roadside device. The smart roadside device includes a roadside sensing module including: a camera assembly configured to collect information of an image for traffic lights of the traffic light device and a radar configured to acquire first surrounding environment information of a road junction monitored by the smart roadside device, and a roadside processing module configured to determine traffic flow information of a red light lane according to the first surrounding environment information and the information of the image for the traffic lights, determine a duration of a green light according to the traffic flow information, and control a duration displaying the green light in a next cycle of the traffic light device according to the duration of the green light.

Abstract: Provided are a vehicle association method and a device, a roadside equipment and a cloud control platform. The vehicle association method is described below. An image of a current vehicle running on a road is collected according to a preset period by each observation point; an original observation sequence of the each observation point relative to the current vehicle is determined according to the image collected by the each observation point within a preset time period; a target observation sequence of the each observation point relative to the current vehicle is determined according to the original observation sequence of the each observation point relative to the current vehicle; and whether current vehicles observed by every two observation points are the same vehicle are detected.

Abstract: A method and apparatus for positioning a vehicle, a vehicle and a storage medium are provide. An implementation of the method may include: acquiring object distribution information collected by a road-side perception device, and determining road-side object distribution information based on the object distribution information collected by the road-side perception device; acquiring vehicle-side object distribution information, and matching the road-side object distribution information with the vehicle-side object distribution information, the vehicle-side object distribution information referring to distribution information of a surrounding object detected by a target vehicle to be positioned; and determining location information of the target vehicle according to the matching result.

Abstract: Provided are a method, an apparatus and a device for illegal vehicle warning. The method includes: receiving, by a terminal device, vehicle information of an illegal vehicle in a preset area transmitted by a traffic control unit; and performing, by the terminal device, the illegal vehicle warning when it is determined that a target vehicle may collide with the illegal vehicle according to the vehicle information of the illegal vehicle in the preset area. The target vehicle entering a preset area receives the vehicle information of an illegal vehicle in the preset area, and performs the illegal vehicle warning when it is determined that the target vehicle may collide with the illegal vehicle according to the vehicle information of the illegal vehicle in the preset area, thereby avoiding or mitigating the collision of the target vehicle and the illegal vehicle, and improving the traffic safety of the target vehicle.

Abstract: A vehicle-to-infrastructure cooperation information processing method, apparatus, device and an autonomous vehicle are provided. The method includes: acquiring first on-board perception data of a target vehicle, the first on-board perception data including data of an obstacle around the target vehicle sensed by the target vehicle; generating virtual obstacle data for representing the target vehicle according to positioning data of the target vehicle; generating second on-board perception data based on the virtual obstacle data and the first on-board perception data; and fusing the second on-board perception data with roadside perception data to obtain fusion data, the fusion data including all obstacle data in both the second on-board perception data and the roadside perception data, and the obstacle data in the roadside perception data including obstacle data for representing the target vehicle.

Abstract: Provided are a vehicle positioning method, an apparatus and a device. The method includes: sending an auxiliary positioning request to an auxiliary positioning device within a preset distance range; receiving an auxiliary positioning message returned by the auxiliary positioning device with respect to the auxiliary positioning request, where the auxiliary positioning message carries location information of the auxiliary positioning device; and determining a current location of a current vehicle according to the location information of the auxiliary positioning device and distance information between the current vehicle and the auxiliary positioning device. The method of the present disclosure can implement vehicle positioning without a satellite positioning signal. The vehicle positioning can be performed when the vehicle is blocked by an obstacle such as a tunnel, a building and the satellite positioning signal cannot be received, improving the accuracy of the vehicle positioning.

Abstract: Provided are a method, an apparatus and a device for obstacle in lane warning. The method includes receiving information of an obstacle in a front lane of a first vehicle, where the first vehicle is in front of a second vehicle; and performing an obstacle warning on the second vehicle according to the information of the obstacle. The second vehicle receives the information of the obstacle, and performs the obstacle warning on the second vehicle according to the information of the obstacle to prevent the second vehicle from failing to detect the obstacle in a blind area when the sight of the second vehicle is blocked by the first vehicle; the front vehicle notifies the subsequent vehicle of the obstacle in the lane immediately, which facilitates the driver to handle the situation in advance, improves the vehicle's ability to sense the obstacle and prevents the collision from occurring.

Abstract: The present disclosure describes an intelligent roadside unit and a control method thereof, comprising: a circular camera array, including a plurality of cameras for capturing images in different road directions respectively; a circular radar array, including a plurality of radars for detecting obstacle information in different road directions respectively; and a controller configured to determine whether a vehicle is approaching according to the obstacle information detected by the radars, to turn on a camera corresponding to the radar that has detected the approaching of the vehicle to capture an image, and to control the cameras corresponding to the radars that have not detected the approaching of the vehicle to be in a standby state.

Abstract: The present disclosure proposes an intelligent roadside unit and a control method. The intelligent roadside unit includes: a circular track; a camera disposed on the circular track and movable along the circular track; a driver for driving the camera; a circular radar array, wherein the circular radar array includes a plurality of radars detecting obstacle information in different directions of a road respectively; and a controller configured to judge whether there is a vehicle approaching and to acquire an approach direction of the vehicle according to the obstacle information detected by the radar, and to control the driver to drive the camera toward the approach direction for shooting.

Abstract: The present disclosure provides an intelligent roadside unit. The intelligent roadside unit includes: a radar configured to detect an obstacle within a first preset range of the intelligent roadside unit; a camera configured to capture an image of a second preset range of the intelligent roadside unit; a master processor coupled to the radar and the camera, and configured to generate a point cloud image according to information on the obstacle detected by the radar and the image detected by the camera; and a slave processor coupled to the radar and the camera, and configured to generate a point cloud image according to the information on the obstacle detected by the radar and the image detected by the camera, in which the slave processor checks the master processor, and when the original master processor breaks down, it is switched from the master processor to the slave processor.

Abstract: Provided are system and method for controlling traffic lights. The system includes a traffic light device and a smart roadside device. The smart roadside device includes a roadside sensing module including: a camera assembly configured to collect information of an image for traffic lights of the traffic light device and a radar configured to acquire first surrounding environment information of a road junction monitored by the smart roadside device, and a roadside processing module configured to determine traffic flow information of a red light lane according to the first surrounding environment information and the information of the image for the traffic lights, determine a duration of a green light according to the traffic flow information, and control a duration displaying the green light in a next cycle of the traffic light device according to the duration of the green light.

Abstract: Provided are a method for indicating at least one obstacle by a smart roadside unit, a system and a non-temporary computer-readable storage medium. The method includes: detecting the at least one obstacle via a radar to generate an obstacle set; acquiring status information reported by an autonomous vehicle; filtering the obstacle set according to the status information reported by the autonomous vehicle, to remove the autonomous vehicle object from the obstacle set; and sending a filtered obstacle set to the autonomous vehicle.

Abstract: The present disclosure provides a high-precision map generation method, device, and computer device. The method includes: obtaining a local high-precision map in an autonomous vehicle and a destination of the autonomous vehicle, determining whether there is a high-precision map corresponding to a front road section according to the destination and the local high-precision map, and when there is no high-precision map corresponding to the front road section, prompting the driver to switch to a manual driving mode, and after the autonomous vehicle enters the front road section, collecting map information by a radar and a camera of the autonomous vehicle, and generating the high-precision map according to the map information.

Abstract: The present disclosure provides a roadside sensing system based on vehicle infrastructure cooperation and a method for controlling a vehicle thereof. The system includes a target vehicle and an intelligent roadside device provided on a road segment divided by a preset distance. The intelligent roadside device comprises a roadside sensing module, a roadside processing module, and a roadside communication module. The roadside sensing module comprises a sensor configured to acquire surrounding environment information of the target vehicle. The roadside processing module is configured to perform fusion processing on the surrounding environment information acquired to form road environment information. The roadside communication module is configured to send the road environment information to the target vehicle.