自动驾驶

Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation

Song Wang, Jiawei Yu, Wentong Li, Wenyu Liu, Xiaolu Liu, Junbo Chen, Jianke Zhu

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

Comments Accepted by CVPR2024

VRS-NeRF: Visual Relocalization with Sparse Neural Radiance Field

Fei Xue, Ignas Budvytis, Daniel Olmeda Reino, Roberto Cipolla

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

Comments source code https://github.com/feixue94/vrs-nerf

3DGS-ReLoc: 3D Gaussian Splatting for Map Representation and Visual ReLocalization

Peng Jiang, Gaurav Pandey, Srikanth Saripalli

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

Comments 8 pages, 7 figures

METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation

Junwon Seo, Taekyung Kim, Seongyong Ahn, Kiho Kwak

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

Comments Our video can be found at https://youtu.be/4rIAMM1ZKMo

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning

Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum

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

Comments Published at International Conference of Learning Representations (ICLR) 2024. 26 pages

Application of 2D Homography for High Resolution Traffic Data Collection using CCTV Cameras

Linlin Zhang, Xiang Yu, Abdulateef Daud, Abdul Rashid Mussah, Yaw Adu-Gyamfi

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

Comments 25 pages, 9 figures, this paper was submitted for consideration for presentation at the 102nd Annual Meeting of the Transportation Research Board, January 2023

VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation

Naoki Yokoyama, Sehoon Ha, Dhruv Batra, Jiuguang Wang, Bernadette Bucher

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

Occlusion Reasoning for Skeleton Extraction of Self-Occluded Tree Canopies

Chung Hee Kim, George Kantor

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

Comments 7 pages, 10 figures, submitted to ICRA 2023

Forest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning

Wenquan Dong, Edward T. A. Mitchard, Hao Yu, Steven Hancock, Casey M. Ryan

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

SAGE-ICP: Semantic Information-Assisted ICP

Jiaming Cui, Jiming Chen, Liang Li

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

Comments 6+1 pages, 4 figures

Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images

Yunpeng Liu, Vasileios Lioutas, Jonathan Wilder Lavington, Matthew Niedoba, Justice Sefas, Setareh Dabiri, Dylan Green, Xiaoxuan Liang, Berend Zwartsenberg, Adam Ścibior, Frank Wood

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

Journal ref 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)

A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops

Simone Cerrato, Vittorio Mazzia, Francesco Salvetti, Mauro Martini, Simone Angarano, Alessandro Navone, Marcello Chiaberge

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

Comments Submitted to Robotics and Autonomous Systems (Elsevier)

NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes

Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus

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

Comments Accepted to International Conference on Computer Vision (ICCV), 2023. Project page: https://zubair-irshad.github.io/projects/neo360.html

MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View Simulation

Chenming Wu, Jiadai Sun, Zhelun Shen, Liangjun Zhang

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

Comments Accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023

AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments

Peng Yin, Haowen Lai, Shiqi Zhao, Ruohai Ge, Ji Zhang, Howie Choset, Sebastian Scherer

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

Comments 19 pages, 20 figures, IEEE Transactions on Robotics (T-RO) 2023

VectorMapNet: End-to-end Vectorized HD Map Learning

Yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, Hang Zhao

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

Comments Accepted by ICML 2023

Vitruvio: 3D Building Meshes via Single Perspective Sketches

Alberto Tono, Heyaojing Huang, Ashwin Agrawal, Martin Fischer

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

Neural Groundplans: Persistent Neural Scene Representations from a Single Image

Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Fredo Durand, Joshua B. Tenenbaum, Vincent Sitzmann

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

Comments Project page: https://prafullsharma.net/neural_groundplans/

Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes

Jihyun Lee, Minhyuk Sung, Honggyu Choi, Tae-Kyun Kim

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

Comments 6 figures, 14 pages, accepted to CVPR 2023, project page: https://jyunlee.github.io/projects/implicit-two-hands/

MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

Bencheng Liao, Shaoyu Chen, Xinggang Wang, Tianheng Cheng, Qian Zhang, Wenyu Liu, Chang Huang

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

Comments Accepted to ICLR 2023 as Spotlight Presentation. Code&demos: https://github.com/hustvl/MapTR

Improving Autonomous Vehicle Mapping and Navigation in Work Zones Using Crowdsourcing Vehicle Trajectories

Hanlin Chen, Renyuan Luo, Yiheng Feng

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

Comments Presented at TRBAM. Journal version in progress

Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images

Savvas Karatsiolis, Chirag Padubidri, Andreas Kamilaris

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

Visual SLAM: What are the Current Trends and What to Expect?

Ali Tourani, Hriday Bavle, Jose Luis Sanchez-Lopez, Holger Voos

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

Comments 18 pages, 4 figures, 1 table

RING++: Roto-translation Invariant Gram for Global Localization on a Sparse Scan Map

Xuecheng Xu, Sha Lu, Jun Wu, Haojian Lu, Qiuguo Zhu, Yiyi Liao, Rong Xiong, Yue Wang

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

Path-Aware Graph Attention for HD Maps in Motion Prediction

Fang Da, Yu Zhang

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

Comments IEEE International Conference on Robotics and Automation (ICRA 2022)

Journal ref 2022 International Conference on Robotics and Automation (ICRA), 2022, pp. 6430-6436

Spacecraft depth completion based on the gray image and the sparse depth map

Xiang Liu, Hongyuan Wang, Zhiqiang Yan, Yu Chen, Xinlong Chen, Weichun Chen

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

Comments the preprint version submitted to IEEE Transactions on Aerospace and Electronic Systems

Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion

Weng Fei Low, Gim Hee Lee

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

Comments Accepted to ECCV 2022. Code is available at https://github.com/low5545/minimal-neural-atlas

Pose Refinement with Joint Optimization of Visual Points and Lines

Shuang Gao, Jixiang Wan, Yishan Ping, Xudong Zhang, Shuzhou Dong, Yuchen Yang, Haikuan Ning, Jijunnan Li, Yandong Guo

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

Comments Accepted by IROS2022

ICON: Implicit Clothed humans Obtained from Normals

Yuliang Xiu, Jinlong Yang, Dimitrios Tzionas, Michael J. Black

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

Comments Project page: https://icon.is.tue.mpg.de/. Accepted by CVPR 2022

Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV

Stuart Golodetz, Madhu Vankadari, Aluna Everitt, Sangyun Shin, Andrew Markham, Niki Trigoni

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

Comments Submitted to IROS 2022