自动驾驶

Multi-Echo Denoising in Adverse Weather

Alvari Seppänen, Risto Ojala, Kari Tammi

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.RO、cs.CV

Acceleration method for generating perception failure scenarios based on editing Markov process

Canjie Cai

专题命中 感知 ：autonomous driving(abstract)；self-driving(abstract)；分类 cs.RO、cs.AI

Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection

Shuai Zeng, Wenzhao Zheng, Jiwen Lu, Haibin Yan

专题命中 感知 ：autonomous driving(abstract)；driving perception(abstract)；分类 cs.CV、cs.AI

Comments Code is available at: https://github.com/wzzheng/HASS

Mutual Information Analysis in Multimodal Learning Systems

Hadi Hadizadeh, S. Faegheh Yeganli, Bahador Rashidi, Ivan V. Bajić

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.CV、eess.IV

Comments 6 pages, 7 figures, IEEE MIPR 2024

FADet: A Multi-sensor 3D Object Detection Network based on Local Featured Attention

Ziang Guo, Zakhar Yagudin, Selamawit Asfaw, Artem Lykov, Dzmitry Tsetserukou

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Submitted to IEEE

Improving Bird's Eye View Semantic Segmentation by Task Decomposition

Tianhao Zhao, Yongcan Chen, Yu Wu, Tianyang Liu, Bo Du, Peilun Xiao, Shi Qiu, Hongda Yang, Guozhen Li, Yi Yang, Yutian Lin

专题命中 感知 ：autonomous driving(abstract)；BEV(abstract)；分类 cs.CV、cs.AI

Comments Accepted by CVPR 2024

Infrastructure-Assisted Collaborative Perception in Automated Valet Parking: A Safety Perspective

Yukuan Jia, Jiawen Zhang, Shimeng Lu, Baokang Fan, Ruiqing Mao, Sheng Zhou, Zhisheng Niu

专题命中 感知 ：BEV(abstract)；LiDAR(abstract)；分类 cs.RO、cs.CV

Comments 7 pages, 7 figures, 4 tables, accepted by IEEE VTC2024-Spring

MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception

Thien-Minh Nguyen, Shenghai Yuan, Thien Hoang Nguyen, Pengyu Yin, Haozhi Cao, Lihua Xie, Maciej Wozniak, Patric Jensfelt, Marko Thiel, Justin Ziegenbein, Noel Blunder

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.RO、cs.AI

Comments Accepted by The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024

Large receptive field strategy and important feature extraction strategy in 3D object detection

Leichao Cui, Xiuxian Li, Min Meng, Guangyu Jia

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.CV、cs.AI

Path Planning based on 2D Object Bounding-box

Yanliang Huang, Liguo Zhou, Chang Liu, Alois Knoll

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.RO、cs.AI

A Generalized Multi-Modal Fusion Detection Framework

Leichao Cui, Xiuxian Li, Min Meng, Xiaoyu Mo

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.CV、cs.AI

A real-time dynamic obstacle tracking and mapping system for UAV navigation and collision avoidance with an RGB-D camera

Zhefan Xu, Xiaoyang Zhan, Baihan Chen, Yumeng Xiu, Chenhao Yang, Kenji Shimada

专题命中 感知 ：autonomous driving(abstract)；occupancy(abstract)；分类 cs.RO、cs.AI

Journal ref 2023 IEEE International Conference on Robotics and Automation (ICRA)

Verifiable Obstacle Detection

Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Accepted at ISSRE 2022

Journal ref 33rd International Symposium on Software Reliability Engineering (ISSRE), pp. 61-72. IEEE, 2022

FastPillars: A Deployment-friendly Pillar-based 3D Detector

Sifan Zhou, Zhi Tian, Xiangxiang Chu, Xinyu Zhang, Bo Zhang, Xiaobo Lu, Chengjian Feng, Zequn Jie, Patrick Yin Chiang, Lin Ma

专题命中 感知 ：self-driving(abstract)；BEV(abstract)；分类 cs.RO、cs.CV

Comments Submitted to AAAI2024

A Low-Cost Lane-Following Algorithm for Cyber-Physical Robots

Archit Gupta, Arvind Easwaran

专题命中 感知 ：autonomous driving(abstract)；self-driving(abstract)；分类 cs.RO、cs.CV

SDVRF: Sparse-to-Dense Voxel Region Fusion for Multi-modal 3D Object Detection

Binglu Ren, Jianqin Yin

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.CV、cs.AI

SCP: Scene Completion Pre-training for 3D Object Detection

Yiming Shan, Yan Xia, Yuhong Chen, Daniel Cremers

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.CV、cs.AI

Comments Wins the best paper award at ISPRS Geospatial Week 2023

GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding

Jihao Liu, Tai Wang, Boxiao Liu, Qihang Zhang, Yu Liu, Hongsheng Li

专题命中 感知 ：BEV(abstract)；LiDAR(abstract)；分类 cs.CV、cs.AI

Comments Release code: https://github.com/Sense-X/GeoMIM

3M3D: Multi-view, Multi-path, Multi-representation for 3D Object Detection

Jongwoo Park, Apoorv Singh, Varun Bankiti

专题命中 感知 ：autonomous driving(abstract)；BEV(abstract)；分类 cs.CV、cs.AI

KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection

Yadan Luo, Zhuoxiao Chen, Zhen Fang, Zheng Zhang, Zi Huang, Mahsa Baktashmotlagh

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.CV、cs.AI

Comments To appear in ICCV 2023

SUIT: Learning Significance-guided Information for 3D Temporal Detection

Zheyuan Zhou, Jiachen Lu, Yihan Zeng, Hang Xu, Li Zhang

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Accepted to IROS 2023

Towards a Robust Sensor Fusion Step for 3D Object Detection on Corrupted Data

Maciej K. Wozniak, Viktor Karefjards, Marko Thiel, Patric Jensfelt

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.RO、cs.CV

Rethinking Efficient Lane Detection via Curve Modeling

Zhengyang Feng, Shaohua Guo, Xin Tan, Ke Xu, Min Wang, Lizhuang Ma

专题命中 感知 ：self-driving(abstract)；driving perception(abstract)；分类 cs.CV、cs.AI

Comments Fix GT fitting equations and descriptions in Section 3.3. Code: https://github.com/voldemortX/pytorch-auto-drive

Probabilistic Approach for Road-Users Detection

G. Melotti, W. Lu, P. Conde, D. Zhao, A. Asvadi, N. Gonçalves, C. Premebida

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.CV、cs.AI

Comments This work has been accepted for publication as a REGULAR PAPER in the Transactions on Intelligent Transportation Systems-ITS

RadarFormer: Lightweight and Accurate Real-Time Radar Object Detection Model

Yahia Dalbah, Jean Lahoud, Hisham Cholakkal

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.CV、cs.AI

Comments 18 pages (with reference), 8 figures, submitted and accepted to SCIA2023

CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection

Ching-Yu Tseng, Yi-Rong Chen, Hsin-Ying Lee, Tsung-Han Wu, Wen-Chin Chen, Winston H. Hsu

专题命中 感知 ：autonomous driving(abstract)；self-driving(abstract)；分类 cs.RO、cs.CV

Comments Accepted by IEEE International Conference on Robotics and Automation (ICRA) 2023. The code is available at https://github.com/sty61010/CrossDTR

PolarFormer: Multi-camera 3D Object Detection with Polar Transformer

Yanqin Jiang, Li Zhang, Zhenwei Miao, Xiatian Zhu, Jin Gao, Weiming Hu, Yu-Gang Jiang

专题命中 感知 ：autonomous driving(abstract)；BEV(abstract)；分类 cs.CV、cs.AI

Comments Accepted to AAAI2023

Super Sparse 3D Object Detection

Lue Fan, Yuxue Yang, Feng Wang, Naiyan Wang, Zhaoxiang Zhang

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Extension of Fully Sparse 3D Object Detection [arXiv:2207.10035]

Towards Accurate Ground Plane Normal Estimation from Ego-Motion

Jiaxin Zhang, Wei Sui, Qian Zhang, Tao Chen, Cong Yang

专题命中 感知 ：autonomous driving(abstract)；trajectory planning(abstract)；分类 cs.RO、cs.CV

Journal ref Sensors 2022, 22(23), 9375;

Objects as Spatio-Temporal 2.5D points

Paridhi Singh, Gaurav Singh, Arun Kumar

专题命中 感知 ：BEV(abstract)；LiDAR(abstract)；分类 cs.CV、cs.AI