Track data processing method and device, vehicle and medium
A data processing and track technology, applied in the field of devices, track data processing methods, vehicles and media, can solve problems such as jumping, track splitting, track tracking errors, etc., achieve accurate obstacle track data, reduce Hardware cost, stability, and the effect of obstacle track data
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Embodiment 1
[0027] figure 1 It is a flow chart of a track data processing method provided by Embodiment 1 of the present invention. This embodiment can be applied to the situation of how to perceive the obstacle track, especially for the vehicle driving scene of a high-speed road section or a fast road section. The situation where obstacle track is sensed. The method can be executed by the track data processing device provided in the embodiment of the present invention, and the device can be realized by software and / or hardware. The device can be configured in a terminal device / server / vehicle controller, and the method specifically includes:
[0028] S110. According to the previous track data of the historical obstacle and the current track data of the current obstacle detected by the vehicle radar, determine whether the current obstacle is associated with the historical obstacle.
[0029] Wherein, the previous track data of the historical obstacle is the track data of the obstacle in t...
Embodiment 2
[0048] figure 2 It is a flow chart of a track data processing method provided in Embodiment 2 of the present invention, image 3 A division structure diagram of perception intervals around a vehicle provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above embodiments, and provides a preferred embodiment of a method for processing track data based on obstacle data collected by vehicle radar and vehicle cameras. Specifically, such as figure 2 As shown, the track data processing method provided in this embodiment may include:
[0049] S210. Determine a position correlation threshold of historical obstacles according to the size parameters of historical obstacles collected by the vehicle camera.
[0050] In this embodiment, since the vehicle-mounted camera can generally only collect obstacle information in a part of the area, it is impossible to detect obstacles without blind spots in the sensing area around the vehicle. There...
Embodiment 3
[0064] Figure 4 It is a flow chart of a track data processing method provided by Embodiment 3 of the present invention. optional, such as Figure 4 As shown, taking an autonomous vehicle as an example, the on-board radar may be a millimeter-wave radar.
[0065] The self-driving vehicle judges whether the vehicle is in the ODD (Operational Design Domain) through the on-board computer through the GPS. In this embodiment, the vehicle ODD means that the vehicle is driving in a high-speed road section. In practical applications, other ODD environments may also be used. If the vehicle is driving in ODD, the surrounding perception interval of the autonomous driving vehicle is divided. The on-board computer receives the obstacle track data detected by the camera and the millimeter-wave radar, and uses the Kalman filter algorithm to time-synchronize the obstacle track data collected by the camera and the obstacle track data collected by the radar. For different perception interval...
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