自动驾驶

TAIL: A Terrain-Aware Multi-Modal SLAM Dataset for Robot Locomotion in Deformable Granular Environments

Chen Yao, Yangtao Ge, Guowei Shi, Zirui Wang, Ningbo Yang, Zheng Zhu, Hexiang Wei, Yuntian Zhao, Jing Wu, Zhenzhong Jia

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments Submitted to IEEE Robotics and Automation Letters

Depth Estimation fusing Image and Radar Measurements with Uncertain Directions

Masaya Kotani, Takeru Oba, Norimichi Ukita

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments Accepted to IJCNN 2024 (International Joint Conference on Neural Networks)

Multi-Radar Inertial Odometry for 3D State Estimation using mmWave Imaging Radar

Jui-Te Huang, Ruoyang Xu, Akshay Hinduja, Michael Kaess

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments Accepted to ICRA 2024

DART: Implicit Doppler Tomography for Radar Novel View Synthesis

Tianshu Huang, John Miller, Akarsh Prabhakara, Tao Jin, Tarana Laroia, Zico Kolter, Anthony Rowe

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments To appear in CVPR 2024; see https://wiselabcmu.github.io/dart/ for our project site

ROAMER: Robust Offroad Autonomy using Multimodal State Estimation with Radar Velocity Integration

Morten Nissov, Shehryar Khattak, Jeffrey A. Edlund, Curtis Padgett, Kostas Alexis, Patrick Spieler

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors

Pengchong Hu, Zhizhong Han

专题命中 多传感器融合 ：occupancy(abstract)；分类 cs.CV

Comments NeurIPS 2023

HawkRover: An Autonomous mmWave Vehicular Communication Testbed with Multi-sensor Fusion and Deep Learning

Ethan Zhu, Haijian Sun, Mingyue Ji

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments submitted to IEEE conferences for future publications

MOISST: Multimodal Optimization of Implicit Scene for SpatioTemporal calibration

Quentin Herau, Nathan Piasco, Moussab Bennehar, Luis Roldão, Dzmitry Tsishkou, Cyrille Migniot, Pascal Vasseur, Cédric Demonceaux

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 cs.CV

Comments Accepted at IROS2023 Project site: https://qherau.github.io/MOISST/

Datasets, Models, and Algorithms for Multi-Sensor, Multi-agent Autonomy Using AVstack

R. Spencer Hallyburton, Miroslav Pajic

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

GSDC Transformer: An Efficient and Effective Cue Fusion for Monocular Multi-Frame Depth Estimation

Naiyu Fang, Lemiao Qiu, Shuyou Zhang, Zili Wang, Zheyuan Zhou, Kerui Hu

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 cs.CV

DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes

Zhuopeng Li, Chenming Wu, Liangjun Zhang, Jianke Zhu

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 cs.CV

UWB Radar SLAM: an Anchorless Approach in Vision Denied Indoor Environments

H. A. G. C. Premachandra, Ran Liu, Chau Yuen, U-Xuan Tan

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Journal ref in IEEE Robotics and Automation Letters, vol. 8, no. 9, pp. 5299-5306, Sept. 2023

Do we need scan-matching in radar odometry?

Vladimír Kubelka, Emil Fritz, Martin Magnusson

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments Preprint. Submitted to ICRA 2024. 7 pages, 11 figures

Radar-Only Off-Road Local Navigation

Timothy Overbye, Srikanth Saripalli

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 7 pages, 17 figures, ITSC 2023

RMap: Millimeter-Wave Radar Mapping Through Volumetric Upsampling

Ajay Narasimha Mopidevi, Kyle Harlow, Christoffer Heckman

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Multi-Sensor Terrestrial SLAM for Real-Time, Large-Scale, and GNSS-Interrupted Forest Mapping

Weria Khaksar, Rasmus Astrup

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion

Lukas Stäcker, Shashank Mishra, Philipp Heidenreich, Jason Rambach, Didier Stricker

专题命中 多传感器融合 ：BEV(abstract)；分类 cs.CV

Comments GCPR 2023

RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation

Zhexiong Wan, Yuxin Mao, Jing Zhang, Yuchao Dai

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments ICCV 2023. Project page: https://npucvr.github.io/RPEFlow Code: https://github.com/danqu130/RPEFlow

ImmFusion: Robust mmWave-RGB Fusion for 3D Human Body Reconstruction in All Weather Conditions

Anjun Chen, Xiangyu Wang, Kun Shi, Shaohao Zhu, Bin Fang, Yingfeng Chen, Jiming Chen, Yuchi Huo, Qi Ye

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments Accepted to ICRA2023, Project Page: https://chen3110.github.io/ImmFusion/index.html

Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar

Andrea Ronco, Nicolas Baumann, Marco Giordano, Michele Magno

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

onlineFGO: Online Continuous-Time Factor Graph Optimization with Time-Centric Multi-Sensor Fusion for Robust Localization in Large-Scale Environments

Haoming Zhang, Felix Widmayer, Lars Lünnemann, Dirk Abel

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments A major revision of this paper is available, which will be submitted to arXiv later

Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities

Xinyu Gao, Zhijie Wang, Yang Feng, Lei Ma, Zhenyu Chen, Baowen Xu

专题命中 多传感器融合 ：self-driving(abstract)；分类 cs.CV

Comments To appear in ESEC/FSE 2023

HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection

Tim Broedermann, Christos Sakaridis, Dengxin Dai, Luc Van Gool

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments IEEE International Conference on Intelligent Transportation Systems (ITSC) 2023

Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression

Felix Ott, Nisha Lakshmana Raichur, David Rügamer, Tobias Feigl, Heiko Neumann, Bernd Bischl, Christopher Mutschler

专题命中 多传感器融合 ：self-driving(abstract)；分类 cs.CV

Comments Under review

3D Radar and Camera Co-Calibration: A Flexible and Accurate Method for Target-based Extrinsic Calibration

Lei Cheng, Arindam Sengupta, Siyang Cao

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 cs.RO

Ground-Challenge: A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots

Jie Yin, Hao Yin, Conghui Liang, Zhengyou Zhang

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System

Jiwei Guan, Lei Pan, Chen Wang, Shui Yu, Longxiang Gao, Xi Zheng

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 cs.AI

GrASPE: Graph based Multimodal Fusion for Robot Navigation in Unstructured Outdoor Environments

Kasun Weerakoon, Adarsh Jagan Sathyamoorthy, Jing Liang, Tianrui Guan, Utsav Patel, Dinesh Manocha

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Boosting Night-time Scene Parsing with Learnable Frequency

Zhifeng Xie, Sen Wang, Ke Xu, Zhizhong Zhang, Xin Tan, Yuan Xie, Lizhuang Ma

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 cs.CV

Journal ref IEEE TIP 2023

DEFLOW: Self-supervised 3D Motion Estimation of Debris Flow

Liyuan Zhu, Yuru Jia, Shengyu Huang, Nicholas Meyer, Andreas Wieser, Konrad Schindler, Jordan Aaron

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 cs.CV

Comments Photogrammetric Computer Vision Workshop, CVPRW 2023, camera ready