A Driving Behavior Analysis and Correction System for Driver Training Robots Based on Artificial Intelligence

Abstract

This invention provides an AI-based driving behavior analysis and correction system for driver training robots, relating to the field of driving model technology. It includes an operating environment acquisition module, a time-series segment generation module, a reasonable interval determination module, a behavior attribute discrimination module, and a graded correction output module. The system generates a set of driving behavior time-series segments by simultaneously collecting student operation data and road environment data. It extracts the operation change gradient and environmental risk change, and generates an operation reasonable interval including deceleration range, braking advance range, and steering change range based on the environmental risk change. Then, it compares the operation change gradient with the operation reasonable interval segment by segment to distinguish between proactive avoidance behavior and non-standard operation behavior, and outputs graded correction instructions based on the deviation. This invention can improve the accuracy of driving behavior analysis and correction in complex traffic situations.

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