Intelligent Driving Assistance System for New Energy Vehicles Based on Intelligent Algorithms and ComputerVision

Against the backdrop of the gradual popularization of new energy vehicles, it is particularly important to improve the safety and comfort of driving new energy vehicles. As the market share of new energy vehicles gradually increases, improving the driving safety and comfort of new energy vehicles has become an urgent problem to be solved. This article helps improve the intelligent driving assistance system of new energy vehicles by combining intelligent algorithms and computer vision technology. This article realizes real-time detection and identification of vehicles, pedestrians and obstacles in road scenes by using target detection algorithms, then uses image segmentation technology to separate different areas in the road image, such as lane lines and pedestrian areas, and uses motion estimation algorithms to track and predict moving objects on the road to improve the performance of the new energy vehicles’ driving assistance system. Experimental results show that the stability test results of this system are between 89% and 98% and significant progress has been made in road environment perception and driving decision-making.