LLFormer: An Efficient and Real-time LiDAR Lane Detection Method based on Transformer-Reference-Cited by-同舟云学术

LLFormer: An Efficient and Real-time LiDAR Lane Detection Method based on Transformer

Published:2023-07-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 5th International Conference on Pattern Recognition and Intelligent Systems
language:
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Author:

Jie Haoxiang¹^ORCID,Zuo Xinyi¹^ORCID,Gao Jian¹^ORCID,Liu Wei²^ORCID,Hu Jun¹^ORCID,Cheng Shuai³^ORCID

Affiliation:

1. Neusoft Reach Automotive Technology Ltd., China

2. Neusoft Reach Automotive Technology Ltd., China and China and College of Information Science and Engineering, Northeastern University, China

3. Neusoft Reach Automotive Technology Ltd, China

Funder

Intelligent Control Theories and Key Technologies of Heterogeneous Unmanned Electric Commercial Vehicles Formation

Development and Application of Vehicle Cloud Collaboration Self-evolution Platform for Advanced Automatic Driving

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3609703.3609707

Reference21 articles.

1. Jianwei Niu A, Jie Lu A, Mingliang Xu B, Pei Lv B, and Xiaoke Zhao A. 2016. Robust Lane Detection Using Two-stage Feature Extraction with Curve Fitting. Pattern Recognition 59 , C ( 2016 ), 225–233. Jianwei Niu A, Jie Lu A, Mingliang Xu B, Pei Lv B, and Xiaoke Zhao A. 2016. Robust Lane Detection Using Two-stage Feature Extraction with Curve Fitting. Pattern Recognition 59, C (2016), 225–233.

2. Min Bai Gellert Mattyus Namdar Homayounfar Shenlong Wang Shrinidhi Kowshika Lakshmikanth and Raquel Urtasun. 2019. Deep Multi-Sensor Lane Detection. arxiv:1905.01555 [cs.CV] Min Bai Gellert Mattyus Namdar Homayounfar Shenlong Wang Shrinidhi Kowshika Lakshmikanth and Raquel Urtasun. 2019. Deep Multi-Sensor Lane Detection. arxiv:1905.01555 [cs.CV]

3. Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov and Sergey Zagoruyko. 2020. End-to-End Object Detection with Transformers. arxiv:2005.12872 [cs.CV] Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov and Sergey Zagoruyko. 2020. End-to-End Object Detection with Transformers. arxiv:2005.12872 [cs.CV]

4. Li Chen Chonghao Sima Yang Li Zehan Zheng Jiajie Xu Xiangwei Geng Hongyang Li Conghui He Jianping Shi Yu Qiao and Junchi Yan. 2022. PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark. arxiv:2203.11089 [cs.CV] Li Chen Chonghao Sima Yang Li Zehan Zheng Jiajie Xu Xiangwei Geng Hongyang Li Conghui He Jianping Shi Yu Qiao and Junchi Yan. 2022. PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark. arxiv:2203.11089 [cs.CV]

5. Viktor Ciroski and Jungme Park. 2019. Lane Line Detection by LiDAR Intensity Value Interpolation. In SAE Student/Young Professional Technical Paper Competition. Viktor Ciroski and Jungme Park. 2019. Lane Line Detection by LiDAR Intensity Value Interpolation. In SAE Student/Young Professional Technical Paper Competition.

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