Autonomous driving paper index
Complex Lane Line Detection Under Autonomous Driving
One-line summary
In this paper, we propose an improved lane determination algorithm to increase the accuracy and stability of the driving assistance system in an automatic driving system when determining the position of a lane in a complex driving environment.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
In this paper, we propose an improved lane determination algorithm to increase the accuracy and stability of the driving assistance system in an automatic driving system when determining the position of a lane in a complex driving environment. Based on the proposed single-scale Retinex enhancement and Gamma correction fusion image enhancement algorithm, we introduce a Hidden Markov Model improvement road segmentation algorithm to extract lane feature points by separating the region of interest and at the same time, we design a vanishing line detection technology based on improved V-disparity map. Experimental data show that the proposed algorithm has excellent detection capabilities and can detect main lanes in complex road environments such as shadows, traffic congestion, and uneven lighting.
Links and sources
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