Safe driving prediction optimization method and device, equipment and storage medium

Abstract

The invention relates to a safe driving prediction optimization method and device, equipment and a storage medium, and the method comprises the steps of: acquiring a current frame and a candidate frame, acquiring a TTC model through a pinhole imaging model according to the current frame and the candidate frame, acquiring a first TTC optimization model according to the TTC model and a preset condition, and enabling the first TTC optimization model to be used for the prediction of the safe driving of a vehicle. According to the technical scheme, safety prediction is carried out based on the collected video frames, a farther distance can be sensed, the safety state of the intersection can be predicted in advance, driving of the vehicle can be planned in advance, in addition, the driving condition of the vehicle is predicted through the first TTC optimization model determined by the pinhole imaging model and the the preset condition, the prediction process is closer to the actual condition of the vehicle, and the prediction accuracy is improved.

Description

technical field [0001] The present disclosure relates to the technical field of unmanned driving, and in particular to a safe driving prediction optimization method, device, device and storage medium. Background technique [0002] In the field of unmanned driving, in order to ensure driving safety, unmanned vehicles need to sense the surrounding environment. When passing through an intersection, if the vehicle needs to turn, when the right of way is at a disadvantage (such as an unprotected left turn, the turning vehicle should give way to the straight-going vehicle), the safe driving of the vehicle needs to have a stronger perception distance in a specific direction as a guarantee. [0003] In the prior art, the intersection environment is usually perceived by lidar, but the perception radius of the lidar is affected by the lidar harness, and the perception distance is relatively short (within 30 meters). For a turning vehicle (especially dragging a few sections of goods),...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, it is usually possible to perceive the intersection environment through lidar, but the perception radius of lidar is affected by the lidar harness, and the perception distance is relatively short (within 30 meters)

For vehicles that are turning (especially dragging a few sections of goods), they may not be able to perceive the vehicles that are approaching the vehicle quickly, and there are potential safety hazards

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