Lane Detection Based on Two-Stage Noise Features Filtering and Clustering

Author:

Wang Yuanlong1ORCID,Jing Zhiqiang1,Ji Zijie1,Wang Liangguo1,Zhou Guan1,Gao Qiang2,Zhao Wanzhong1ORCID,Dai Shijuan3

Affiliation:

1. College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. School of Mechanical Engineering, Southeast University, Nanjing, China

3. Materials Science and Technology College, Nanjing University of Science and Technology, Nanjing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Aeronautical Science Foundation of China

Opening Foundation of Key Laboratory of Advanced Manufacture Technology for Automobile Parts, Ministry of Education

Visiting Scholar Foundation of the State Key Laboratory of Mechanical Transmission, Chongqing University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Transformer Generates Conditional Convolution Kernels for End-to-End Lane Detection;IEEE Sensors Journal;2024-09-01

2. Energy Efficiency Through In-Sensor Computing: ADC-less Real-Time Sensing for Image Edge Detection;Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design;2024-08-05

3. A lane-level localization method via the lateral displacement estimation model on expressway;Expert Systems with Applications;2024-06

4. Lane Detection Using Hough Transform and Kalman Filter;2024 International Conference on E-mobility, Power Control and Smart Systems (ICEMPS);2024-04-18

5. A Low-Latency Noise-Aware Tone Mapping Operator for Hardware Implementation with a Locally Weighted Guided Filter;Symmetry;2024-03-15

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