This paper analyzes lidar's role in autonomous driving, exploring costs, accuracy, and future trends.
With the continuous advancement of science and technology, LiDAR, owing to its unique advantages, has gradually found widespread applications and is playing an increasingly important role across various fields. As one of the most critical sensors in autonomous driving, this paper analyzes the evolution of autonomous driving technology as well as the classification of vehicle-mounted LiDAR. At the same time, it explores future development directions, trends, and challenges, concluding that LiDAR is expected to evolve toward higher resolution, lower cost, reduced weight, and solid-state implementations. However, while performance improvements are driving costs downward, the trade-off between accuracy and efficiency remains a major challenge for enterprises.
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Yuwei Li (2025) studied this question.
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