自动驾驶 - arXivDaily 专题

2412.20049 2024-12-31 cs.RO 57%

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search

Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos

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

Comments 7 pages, 6 figures, submitted to 2025 IEEE International Conference on Robotics & Automation (ICRA)

2409.02415 2024-12-30 cs.CV 57%

Local Map Construction with SDMap: A Comprehensive Survey

Jiaqi Li, Pingfan Jia, Jiaxing Chen, Jiaxi Liu, Lei He, Keqiang Li

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

Comments 18 pages, 26 figures

2301.04470 2024-12-25 cs.CV 57%

InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning

Juyeb Shin, Hyeonjun Jeong, Francois Rameau, Dongsuk Kum

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

Comments Code available at https://github.com/juyebshin/InstaGraM

2412.16229 2024-12-24 cs.CV 57%

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning

Mohamed R Ibrahim

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

Comments 28 pages

2412.16137 2024-12-23 cs.CV eess.SP stat.AP 57%

Camera-Based Localization and Enhanced Normalized Mutual Information

Vishnu Teja Kunde, Jean-Francois Chamberland, Siddharth Agarwal

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

2412.08496 2024-12-13 cs.RO 57%

Drift-free Visual SLAM using Digital Twins

Roxane Merat, Giovanni Cioffi, Leonard Bauersfeld, Davide Scaramuzza

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

Journal ref Robotics and Automation Letters 2024

2405.09001 2024-12-11 cs.RO 57%

BEVRender: Vision-based Cross-view Vehicle Registration in Off-road GNSS-denied Environment

Lihong Jin, Wei Dong, Wenshan Wang, Michael Kaess

专题命中 BEV与占用：BEV(abstract)；分类 cs.RO

Comments 8 pages, 6 figures, accepted by IROS2024

2407.08726 2024-12-06 cs.CV 57%

Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data

Cherie Ho, Jiaye Zou, Omar Alama, Sai Mitheran Jagadesh Kumar, Benjamin Chiang, Taneesh Gupta, Chen Wang, Nikhil Keetha, Katia Sycara, Sebastian Scherer

专题命中 BEV与占用：BEV(abstract)；分类 cs.CV

Comments Accepted at the 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks. Website: https://mapitanywhere.github.io/

2403.10436 2024-11-12 cs.RO 57%

H-MaP: An Iterative and Hybrid Sequential Manipulation Planner

Berk Cicek, Arda Sarp Yenicesu, Cankut Bora Tuncer, Kutay Demiray, Ozgur S. Oguz

专题命中 BEV与占用：trajectory planning(abstract)；分类 cs.RO

2411.03651 2024-11-07 cs.AI cs.GT cs.LG 57%

Policy Aggregation

Parand A. Alamdari, Soroush Ebadian, Ariel D. Procaccia

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

2411.02588 2024-11-06 cs.CV cs.LG 57%

TileTracker: Tracking Based Vector HD Mapping using Top-Down Road Images

Mohammad Mahdavian, Mo Chen, Yu Zhang

专题命中 BEV与占用：BEV(abstract)；分类 cs.CV

2410.23278 2024-10-31 cs.CV 57%

OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction

Hongbo Zhao, Lue Fan, Yuntao Chen, Haochen Wang, yuran Yang, Xiaojuan Jin, Yixin Zhang, Gaofeng Meng, Zhaoxiang Zhang

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

Comments NeurIPS 2024 D&B Track. Project Page:https://opensatmap.github.io/

2203.12647 2024-10-28 cs.RO 57%

Robust Onboard Localization in Changing Environments Exploiting Text Spotting

Nicky Zimmerman, Louis Wiesmann, Tiziano Guadagnino, Thomas Läbe, Jens Behley, Cyrill Stachniss

专题命中 BEV与占用：LiDAR(abstract)；分类 cs.RO

Comments This work has been accepted to IROS 2022

2410.15869 2024-10-22 cs.RO cs.SY eess.SY 57%

Robust Loop Closure by Textual Cues in Challenging Environments

Tongxing Jin, Thien-Minh Nguyen, Xinhang Xu, Yizhuo Yang, Shenghai Yuan, Jianping Li, Lihua Xie

专题命中 BEV与占用：LiDAR(abstract)；分类 cs.RO

2410.14250 2024-10-21 cs.CV 57%

Vision-Language Navigation with Energy-Based Policy

Rui Liu, Wenguan Wang, Yi Yang

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

2405.01107 2024-10-17 cs.RO cs.MA cs.SY eess.SY 57%

CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications

Jan Blumenkamp, Steven Morad, Jennifer Gielis, Amanda Prorok

专题命中 BEV与占用：BEV(abstract)；分类 cs.RO

2403.15951 2024-10-15 cs.CV 57%

MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping

Jiacheng Chen, Yuefan Wu, Jiaqi Tan, Hang Ma, Yasutaka Furukawa

专题命中 BEV与占用：BEV(abstract)；分类 cs.CV

Comments ECCV 2024 (Oral). Project page: https://map-tracker.github.io

2410.08247 2024-10-14 cs.LG cs.AI stat.AP 57%

Forecasting mortality associated emergency department crowding

Jalmari Nevanlinna, Anna Eidstø, Jari Ylä-Mattila, Teemu Koivistoinen, Niku Oksala, Juho Kanniainen, Ari Palomäki, Antti Roine

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

2404.04879 2024-10-11 cs.RO cs.SY eess.SY 57%

Semantic Region Aware Autonomous Exploration for Multi-Type Map Construction in Unknown Indoor Environments

Jianfang Mao

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

2408.14724 2024-10-01 cs.CV 57%

GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learning

Shubhendu Jena, Franck Multon, Adnane Boukhayma

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

Comments ECCVW 2024 Code : https://shubhendu-jena.github.io/geotransfer/

2407.19837 2024-10-01 cs.CV 57%

VortSDF: 3D Modeling with Centroidal Voronoi Tesselation on Signed Distance Field

Diego Thomas, Briac Toussaint, Jean-Sebastien Franco, Edmond Boyer

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

2409.01807 2024-09-23 cs.CV 57%

EPRecon: An Efficient Framework for Real-Time Panoptic 3D Reconstruction from Monocular Video

Zhen Zhou, Yunkai Ma, Junfeng Fan, Shaolin Zhang, Fengshui Jing, Min Tan

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

2409.11981 2024-09-19 cs.RO 57%

LMMCoDrive: Cooperative Driving with Large Multimodal Model

Haichao Liu, Ruoyu Yao, Zhenmin Huang, Shaojie Shen, Jun Ma

专题命中 BEV与占用：BEV(abstract)；分类 cs.RO

Comments 7 pages, 5 figures

2409.10178 2024-09-17 cs.CV 57%

ExelMap: Explainable Element-based HD-Map Change Detection and Update

Lena Wild, Ludvig Ericson, Rafael Valencia, Patric Jensfelt

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

Comments 17 pages, 3 figures

2403.05402 2024-09-16 cs.CV 57%

DualBEV: Unifying Dual View Transformation with Probabilistic Correspondences

Peidong Li, Wancheng Shen, Qihao Huang, Dixiao Cui

专题命中 BEV与占用：BEV(abstract)；分类 cs.CV

Comments Accepted by ECCV 2024

2409.07752 2024-09-13 cs.CV 57%

GatedUniPose: A Novel Approach for Pose Estimation Combining UniRepLKNet and Gated Convolution

Liang Feng, Ming Xu, Lihua Wen, Zhixuan Shen

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

2409.06206 2024-09-11 cs.CV 57%

AgileIR: Memory-Efficient Group Shifted Windows Attention for Agile Image Restoration

Hongyi Cai, Mohammad Mahdinur Rahman, Mohammad Shahid Akhtar, Jie Li, Jingyu Wu, Zhili Fang

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

2409.06030 2024-09-11 cs.GR cs.CV 57%

NESI: Shape Representation via Neural Explicit Surface Intersection

Congyi Zhang, Jinfan Yang, Eric Hedlin, Suzuran Takikawa, Nicholas Vining, Kwang Moo Yi, Wenping Wang, Alla Sheffer

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

2409.03445 2024-09-06 cs.RO 57%

Neural HD Map Generation from Multiple Vectorized Tiles Locally Produced by Autonomous Vehicles

Miao Fan, Yi Yao, Jianping Zhang, Xiangbo Song, Daihui Wu

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

Comments Accepted by SpatialDI'24

2403.19319 2024-09-06 cs.CV 57%

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation

Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Müller, Matthias Nießner

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

Comments Accepted to ECCV 2024, Project page: https://terencecyj.github.io/projects/Mesh2NeRF/ Video: https://youtu.be/SsFkhSuQYGM

1. BEV与占用 3758 篇

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search

Local Map Construction with SDMap: A Comprehensive Survey

InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning

Camera-Based Localization and Enhanced Normalized Mutual Information

Drift-free Visual SLAM using Digital Twins

BEVRender: Vision-based Cross-view Vehicle Registration in Off-road GNSS-denied Environment

Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data

H-MaP: An Iterative and Hybrid Sequential Manipulation Planner

Policy Aggregation

TileTracker: Tracking Based Vector HD Mapping using Top-Down Road Images

OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction

Robust Onboard Localization in Changing Environments Exploiting Text Spotting

Robust Loop Closure by Textual Cues in Challenging Environments

Vision-Language Navigation with Energy-Based Policy

CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications

MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping

Forecasting mortality associated emergency department crowding

Semantic Region Aware Autonomous Exploration for Multi-Type Map Construction in Unknown Indoor Environments

GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learning

VortSDF: 3D Modeling with Centroidal Voronoi Tesselation on Signed Distance Field

EPRecon: An Efficient Framework for Real-Time Panoptic 3D Reconstruction from Monocular Video

LMMCoDrive: Cooperative Driving with Large Multimodal Model

ExelMap: Explainable Element-based HD-Map Change Detection and Update

DualBEV: Unifying Dual View Transformation with Probabilistic Correspondences

GatedUniPose: A Novel Approach for Pose Estimation Combining UniRepLKNet and Gated Convolution

AgileIR: Memory-Efficient Group Shifted Windows Attention for Agile Image Restoration

NESI: Shape Representation via Neural Explicit Surface Intersection

Neural HD Map Generation from Multiple Vectorized Tiles Locally Produced by Autonomous Vehicles

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation