自动驾驶

PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency

Yue Pan, Xingguang Zhong, Louis Wiesmann, Thorbjörn Posewsky, Jens Behley, Cyrill Stachniss

专题命中 BEV与占用 ：LiDAR(title,abstract)；分类 cs.RO、cs.CV

Comments 20 pages

GAD-Generative Learning for HD Map-Free Autonomous Driving

Weijian Sun, Yanbo Jia, Qi Zeng, Zihao Liu, Jiang Liao, Yue Li, Xianfeng Li

专题命中 BEV与占用 ：autonomous driving(title,abstract)；分类 cs.RO、cs.CV

Unsupervised Occupancy Learning from Sparse Point Cloud

Amine Ouasfi, Adnane Boukhayma

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.CV、cs.AI

Comments CVPR 2024

Mixing-Denoising Generalizable Occupancy Networks

Amine Ouasfi, Adnane Boukhayma

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.CV、cs.AI

Comments 3DV 2024

Occ$^2$Net: Robust Image Matching Based on 3D Occupancy Estimation for Occluded Regions

Miao Fan, Mingrui Chen, Chen Hu, Shuchang Zhou

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.CV、eess.IV

Scene as Occupancy

Chonghao Sima, Wenwen Tong, Tai Wang, Li Chen, Silei Wu, Hanming Deng, Yi Gu, Lewei Lu, Ping Luo, Dahua Lin, Hongyang Li

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.RO、cs.CV

Comments Project link: https://github.com/OpenDriveLab/OccNet

UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering

Mingjie Pan, Li Liu, Jiaming Liu, Peixiang Huang, Longlong Wang, Shanghang Zhang, Shaoqing Xu, Zhiyi Lai, Kuiyuan Yang

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.CV、cs.AI

Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors

Long Chen, Yuchen Li, Chao Huang, Yang Xing, Daxin Tian, Li Li, Zhongxu Hu, Siyu Teng, Chen Lv, Jinjun Wang, Dongpu Cao, Nanning Zheng, Fei-Yue Wang

专题命中 BEV与占用 ：autonomous driving(title,abstract)；分类 cs.RO、cs.AI

Comments 18 pages, 4 figures, 3 tables, in IEEE Trans. Syst. Man Cybern. Syst

Occupancy Planes for Single-view RGB-D Human Reconstruction

Xiaoming Zhao, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.CV、cs.AI

Comments AAAI2023; Code: https://github.com/Xiaoming-Zhao/oplanes

Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments

Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.RO、cs.CV

Comments Accepted at 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)

LMBAO: A Landmark Map for Bundle Adjustment Odometry in LiDAR SLAM

Letian Zhang, Jinping Wang, Lu Jie, Nanjie Chen, Xiaojun Tan, Zhifei Duan

专题命中 BEV与占用 ：LiDAR(title,abstract)；分类 cs.RO、cs.CV

Comments 9 pages, 3 tables, 6 figures

Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference

Aishwarya Unnikrishnan, Joey Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.RO、cs.CV

Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning

Khushdeep Singh Mann, Abhishek Tomy, Anshul Paigwar, Alessandro Renzaglia, Christian Laugier

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.CV、cs.AI

Comments Accepted as an conference paper at 33rd IEEE Intelligent Vehicles Symposium, 7 pages, 6 figures

Occupancy Estimation from Thermal Images

Zishan Qin, Dipankar Chaki, Abdallah Lakhdari, Amani Abusafia, Athman Bouguettaya

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.CV、cs.AI

Comments 4 pages, 2 figures. This is an accepted demo paper and to be published in the proceedings of 19th International Conference on Service Oriented Computing (ICSOC 2021)

LEAP: Learning Articulated Occupancy of People

Marko Mihajlovic, Yan Zhang, Michael J. Black, Siyu Tang

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.CV、cs.AI

Comments In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021

Autonomous Driving Data Chain & Interfaces

Benjamin Kahl

专题命中 BEV与占用 ：autonomous driving(title,abstract)；分类 cs.RO、cs.AI

Comments 5 pages, 8 figures

Learning-based 3D Occupancy Prediction for Autonomous Navigation in Occluded Environments

Lizi Wang, Hongkai Ye, Qianhao Wang, Yuman Gao, Chao Xu, Fei Gao

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.RO、cs.CV

ERASOR: Egocentric Ratio of Pseudo Occupancy-based Dynamic Object Removal for Static 3D Point Cloud Map Building

Hyungtae Lim, Sungwon Hwang, Hyun Myung

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.RO、cs.CV

Comments 9 pages, 9 figures, RA-L with ICRA 2021 accepted

S-BEV: Semantic Birds-Eye View Representation for Weather and Lighting Invariant 3-DoF Localization

Mokshith Voodarla, Shubham Shrivastava, Sagar Manglani, Ankit Vora, Siddharth Agarwal, Punarjay Chakravarty

专题命中 BEV与占用 ：BEV(title,abstract)；分类 cs.RO、cs.CV

Comments 7 pages, 8 figures

Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs

Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun

专题命中 BEV与占用 ：self-driving(title,abstract)；分类 cs.RO、cs.CV

Comments CoRL 2020 (Oral)

Learning Topometric Semantic Maps from Occupancy Grids

Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.RO、cs.CV

Comments Presented at the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

A Robust Stereo Camera Localization Method with Prior LiDAR Map Constrains

Dong Han, Zuhao Zou, Lujia Wang, Cheng-Zhong Xu

专题命中 BEV与占用 ：LiDAR(title,abstract)；分类 cs.RO、cs.CV

Comments 6 pages, 5 figures, The 2019 IEEE International Conference on Robotics and Biomimetics

Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors

Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard

专题命中 BEV与占用 ：LiDAR(title,abstract)；分类 cs.RO、cs.CV

Comments 7 pages

Journal ref IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, BC, 2017, pp. 6678-6684

How far should self-driving cars see? Effect of observation range on vehicle self-localization

Mahdi Javanmardi, Ehsan Javanmardi, Shunsuke Kamijo

专题命中 BEV与占用 ：self-driving(title)；autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments 6 pages, 11 figures, IEEE International Conference on Intelligent Transportation Systems 2019

Autonomous Driving in the Lung using Deep Learning for Localization

Jake Sganga, David Eng, Chauncey Graetzel, David B. Camarillo

专题命中 BEV与占用 ：autonomous driving(title,abstract)；分类 cs.RO、cs.CV

Comments 10 pages, 11 figures. arXiv admin note: text overlap with arXiv:1903.10554

Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Encoder-Decoder Networks

Chenyang Lu, Marinus Jacobus Gerardus van de Molengraft, Gijs Dubbelman

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.RO、cs.CV

Deep, spatially coherent Occupancy Maps based on Radar Measurements

Daniel Bauer, Lars Kuhnert, Lutz Eckstein

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.RO、cs.AI

Comments Submitted for Automotive Meets Electronics 2019

Recurrent-OctoMap: Learning State-based Map Refinement for Long-Term Semantic Mapping with 3D-Lidar Data

Li Sun, Zhi Yan, Anestis Zaganidis, Cheng Zhao, Tom Duckett

专题命中 BEV与占用 ：LiDAR(title,abstract)；分类 cs.RO、cs.CV

Comments Accepted by IEEE Robotics and Automation Letters RA-L, 2018

Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation

Kapil Katyal, Katie Popek, Chris Paxton, Joseph Moore, Kevin Wolfe, Philippe Burlina, Gregory D. Hager

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.RO、cs.CV

Comments 7 pages

Semantic 3D Occupancy Mapping through Efficient High Order CRFs

Shichao Yang, Yulan Huang, Sebastian Scherer

专题命中 BEV与占用 ：occupancy(title,abstract)；分类 cs.RO、cs.CV

Comments IROS 2017