.png){kind=icon}
返回
Efficient Multi-Lane Detection Based on Large-Kernel Convolution and Location
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2023.3283440.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Lane detection is the critical sensing technology for autonomous driving systems and advanced driving assistance systems. Along with the rapid evolution of deep learning, vision-based lane detection has made tremendous progress. However, it still faces significant challenges in complex scenarios lacking visual clues, such as severe occlusions and extreme lighting conditions. To detect multiple lanes accurately and efficiently in challenging scenarios, we propose a novel multi-lane detection method called Large-kernel Lane Network (LkLaneNet). By fusing factorized convolution and depth-wise convolution, the Efficient Large-kernel Convolution Module (ELCM) is designed to increase the effective receptive field of the network. Thus, more helpful information can be gathered from a larger region for accurate lane detection. In addition, a location-based instance detection approach is proposed to flexibly distinguish different lanes using the lane start locations at the image boundaries, coupled with the row-wise classification formulation for efficient multi-lane detection. The proposed method is evaluated on two popular lane detection benchmarks, CULane and TuSimple. The results show that our method can achieve advanced performance in complex scenarios while maintaining real-time detection efficiency.
Keyword:
Lane detection
large-kernel convolution
instance detection
row-wise classification
deep learning
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Thermal comfort, perceived air quality, and cognitive performance when personally controlled air movement is used by tropically acclimatized persons当热带适应的人使用个人控制的空气运动时，热舒适性，感知的空气质量和认知表现.png)
Indoor Air
OAAI
Indoor AirIF0
OAAI分享收藏Candidate .gamma.-Secretases in the Generation of the Carboxyl Terminus of the Alzheimer's Disease .beta.A4 Amyloid: Possible Involvement of Cathepsin D候选人。Γ-分泌酶在阿尔茨海默氏病羧基末端的产生。Β.A4淀粉样蛋白: 组织蛋白酶D可能参与Biochemistry
BiochemistryIF0
PREAI
分享收藏分享收藏分享收藏
查看更多内容