Abstract
With the improvement of IoT technology, driver assistance systems, represented by lane departure warning and adaptive cruise control, have become popular in automobiles. To explore the practical performance of the systems, this paper first analyses the vehicle trajectory during daytime, including objects such as vehicles, pedestrians and traffic signs. The results show that the maximum distance error is 6.21% for pedestrians and 5.23% for vehicles within a range of 60 m, and 10.01% for pedestrians and 9.3% for vehicles within a range of 70 m. This has broken through the technical difficulty of recognizing the position of objects up to 50 m away. In addition, the results of the tests conducted at night show that due to the physical limitations of the camera, even on well-lit roads, relatively reliable performance can only be guaranteed at around 35 m. This also proves that the track reproduction system can be useful at night as well.
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