Zigzag Attention: A Structural Aware Module For Lane Detection

doi:10.1109/ICASSP48485.2024.10446500

	Zigzag Attention: A Structural Aware Module For Lane Detection
	Jiajun Ling 1; Yifan Chen2 ; Qimin Cheng 1; Xiao Huang 3
	2024
会议录名称	ICASSP 2024 - 2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
ISSN	1520-6149
页码	4175-4179
发表状态	已发表
DOI	10.1109/ICASSP48485.2024.10446500
摘要	Lane detection presents a formidable challenge in the realm of autonomous driving, given the real-time processing demands, diverse acquisition conditions, and the unique elongated and angular characteristics of lane lines. While a multitude of network design strategies have been proposed to tackle this challenge, few effectively address the distinct morphology of lane lines. Approaches that leverage global relationships across all positions, e.g. attention mechanisms, are often hard to meet real-time processing requirements due to their computational complexity. To address these challenges and unique attributes of lane lines, including issues like occlusion and dashed lines, we present a specialized and plug-and-play attention module. It employs zigzag transformations to cohesively assemble spatially disparate, lane-relevant regions, thereby transforming the challenge into one of localized feature learning, which can be easily enhanced via lightweight convolutions and fully connected layers. Additionally, we harness the symmetry inherent in lane lines to bolster the learning process and enhance accuracy. Comprehensive experimentation validates the efficacy of our proposed module across a range of algorithms, demonstrating superior performance metrics, including parameters, computational complexity, and runtime, when compared to other attention approaches.
关键词	Lane detection structural awareness zigzag transformation attention module
会议地点	Seoul, Korea, Republic of
会议日期	14-19 April 2024
URL	查看原文
来源库	IEEE
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/354939
专题	信息科学与技术学院信息科学与技术学院_硕士生
作者单位	1.School of EIC, Huazhong University of Science and Technology, Wuhan, China 2.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 3.Department of Environmental Sciences, Emory University, Atlanta, GA, USA
推荐引用方式 GB/T 7714	Jiajun Ling,Yifan Chen,Qimin Cheng,et al. Zigzag Attention: A Structural Aware Module For Lane Detection[C],2024:4175-4179.