3D 视觉

LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing

Marcello Cellina, Matteo Corno, Sergio Matteo Savaresi

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments 13 pages

Image-to-Force Estimation for Soft Tissue Interaction in Robotic-Assisted Surgery Using Structured Light

Jiayin Wang, Mingfeng Yao, Yanran Wei, Xiaoyu Guo, Ayong Zheng, Weidong Zhao

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library

Xinyu Cai, Wentao Jiang, Runsheng Xu, Wenquan Zhao, Jiaqi Ma, Si Liu, Yikang Li

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments 7 pages, 6 figures, accepted to the IEEE International Conference on Robotics and Automation (ICRA'23)

The 2nd Place Solution from the 3D Semantic Segmentation Track in the 2024 Waymo Open Dataset Challenge

Qing Wu

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Technical Report

A Pioneering Neural Network Method for Efficient and Robust Fluid Simulation

Yu Chen, Shuai Zheng, Nianyi Wang, Menglong Jin, Yan Chang

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.GR

Comments This paper has been accepted by AAAI Conference on Artificial Intelligence (AAAI-25)

OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving

Tianyi Yan, Junbo Yin, Xianpeng Lang, Ruigang Yang, Cheng-Zhong Xu, Jianbing Shen

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments AAAI 2025, https://yanty123.github.io/OLiDM

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning?

Tongzhou Mu, Zhaoyang Li, Stanisław Wiktor Strzelecki, Xiu Yuan, Yunchao Yao, Litian Liang, Hao Su

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted by The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)

HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection

Zijian Gu, Jianwei Ma, Yan Huang, Honghao Wei, Zhanye Chen, Hui Zhang, Wei Hong

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments 12 pages, 8 figures, 7 tables. Accepted by AAAI 2025 , the 39th Annual AAAI Conference on Artificial Intelligence

What's the Move? Hybrid Imitation Learning via Salient Points

Priya Sundaresan, Hengyuan Hu, Quan Vuong, Jeannette Bohg, Dorsa Sadigh

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

RANSAC Back to SOTA: A Two-stage Consensus Filtering for Real-time 3D Registration

Pengcheng Shi, Shaocheng Yan, Yilin Xiao, Xinyi Liu, Yongjun Zhang, Jiayuan Li

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments 8 pages, 9 figures

Journal ref IEEE Robotics and Automation Letters, vol.9, no.12, pp.11881-11888, 2024

The Bare Necessities: Designing Simple, Effective Open-Vocabulary Scene Graphs

Christina Kassab, Matías Mattamala, Sacha Morin, Martin Büchner, Abhinav Valada, Liam Paull, Maurice Fallon

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Cross-Modal Visual Relocalization in Prior LiDAR Maps Utilizing Intensity Textures

Qiyuan Shen, Hengwang Zhao, Weihao Yan, Chunxiang Wang, Tong Qin, Ming Yang

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

ELMO: Enhanced Real-time LiDAR Motion Capture through Upsampling

Deok-Kyeong Jang, Dongseok Yang, Deok-Yun Jang, Byeoli Choi, Donghoon Shin, Sung-hee Lee

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.GR

Comments published at ACM Transactions on Graphics (Proc. SIGGRAPH ASIA), 2024

A comparison of extended object tracking with multi-modal sensors in indoor environment

Jiangtao Shuai, Martin Baerveldt, Manh Nguyen-Duc, Anh Le-Tuan, Manfred Hauswirth, Danh Le-Phuoc

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving

Sambit Mohapatra, Senthil Yogamani, Varun Ravi Kumar, Stefan Milz, Heinrich Gotzig, Patrick Mäder

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted for publication at IEEE Transactions on Intelligent Transportation Systems

Multi-modal Situated Reasoning in 3D Scenes

Xiongkun Linghu, Jiangyong Huang, Xuesong Niu, Xiaojian Ma, Baoxiong Jia, Siyuan Huang

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted by NeurIPS 2024 Datasets and Benchmarks Track. Project page: https://msr3d.github.io/

Learning Generalizable 3D Manipulation With 10 Demonstrations

Yu Ren, Yang Cong, Ronghan Chen, Jiahao Long

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments

Kavisha Vidanapathirana, Joshua Knights, Stephen Hausler, Mark Cox, Milad Ramezani, Jason Jooste, Ethan Griffiths, Shaheer Mohamed, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted in the The International Journal of Robotics Research (IJRR)

ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving

Tao Ma, Hongbin Zhou, Qiusheng Huang, Xuemeng Yang, Jianfei Guo, Bo Zhang, Min Dou, Yu Qiao, Botian Shi, Hongsheng Li

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted by NeurIPS 2024

ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning

David Junhao Zhang, Roni Paiss, Shiran Zada, Nikhil Karnad, David E. Jacobs, Yael Pritch, Inbar Mosseri, Mike Zheng Shou, Neal Wadhwa, Nataniel Ruiz

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.GR

Comments project page: https://generative-video-camera-controls.github.io/

RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation

Li Li, Hubert P. H. Shum, Toby P. Breckon

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments ECCV 2024 (Oral); 18 pages, 6 figures, 7 tables; Code at https://github.com/l1997i/rapid_seg

Journal ref Eur. Conf. Comput. Vis. (ECCV 2024 ORAL)

On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDAR

Li Li

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments PhD thesis (Durham University, Computer Science), 149 pages (the 2024 BMVA Sullivan Doctoral Thesis Prize runner-up). Includes published content from arXiv:2407.10159 (ECCV 2024 ORAL), arXiv:2303.11203 (CVPR 2023), and arXiv:2406.10068 (3DV 2021), with minor revisions to the examined version: https://etheses.dur.ac.uk/15738/

Robotic State Recognition with Image-to-Text Retrieval Task of Pre-Trained Vision-Language Model and Black-Box Optimization

Kento Kawaharazuka, Yoshiki Obinata, Naoaki Kanazawa, Kei Okada, Masayuki Inaba

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted at Humanoids2024

D2S: Representing sparse descriptors and 3D coordinates for camera relocalization

Bach-Thuan Bui, Huy-Hoang Bui, Dinh-Tuan Tran, Joo-Ho Lee

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted to IEEE Robotics and Automation Letters

UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps

Maciej K Wozniak, Mattias Hansson, Marko Thiel, Patric Jensfelt

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted for IEEE RA-L 2024

VLM-Grounder: A VLM Agent for Zero-Shot 3D Visual Grounding

Runsen Xu, Zhiwei Huang, Tai Wang, Yilun Chen, Jiangmiao Pang, Dahua Lin

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments CoRL 2024 Camera Ready. 25 pages. A novel zero-shot 3D visual grounding framework based solely on 2D images

Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation

Anthony Opipari, Aravindhan K Krishnan, Shreekant Gayaka, Min Sun, Cheng-Hao Kuo, Arnie Sen, Odest Chadwicke Jenkins

专题命中 点云 ：3D reconstruction(abstract)；分类 cs.CV、cs.RO

Comments Accepted in IEEE Robotics and Automation Letters October 2024

Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection

Mehar Khurana, Neehar Peri, James Hays, Deva Ramanan

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments The first two authors contributed equally. This work has been accepted to the Conference on Robot Learning (CoRL) 2024

Towards Open-World Grasping with Large Vision-Language Models

Georgios Tziafas, Hamidreza Kasaei

专题命中 点云 ：spatial understanding(abstract)；分类 cs.CV、cs.RO

Comments 8th Conference on Robot Learning (CoRL 2024), Munich, Germany

Are We Ready for Real-Time LiDAR Semantic Segmentation in Autonomous Driving?

Samir Abou Haidar, Alexandre Chariot, Mehdi Darouich, Cyril Joly, Jean-Emmanuel Deschaud

专题命中 点云 ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted to IROS 2024 PPNIV Workshop