Application of Automatic Longitudinal Control Strategy Scene Extraction of Vehicle Speed in Intelligent Assistant Driving System
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Abstract
The intelligent assistant driving system can ensure driving comfort at a safe driving distance. The longitudinal control system mainly determines the longitudinal movement of the vehicle at the safe driving speed. The purpose of this study is to accelerate the maturity of automatic vehicle driving system, shorten the response time of control strategy and improve its comfort. Based on the automatic speed control strategy, a driving vehicle test system is designed. Scene extraction, noise removal and working condition reorganization are carried out from the longitudinal control strategy. The performance analysis and experimental test under layered test evaluation are conducted from the scenes of constant speed cruise, target vehicle stationary, target vehicle low speed, target vehicle deceleration etc. The results show that the proposed scene extraction algorithm is 42.86% different from the traditional algorithm in acceleration comparison. The initial braking distance of the algorithm is 0.80 m. The safe triggering distance is the minimum (less than 15m). The maximum deceleration of braking and stopping at constant speed is -0.65 g, which has better driving comfort and safety and reduces the risk of collision. The automatic test system can effectively ensure driving safety, driving accuracy and convenience in different driving scenarios.
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