自动驾驶

A Normal Distribution Transform-Based Radar Odometry Designed For Scanning and Automotive Radars

Pou-Chun Kung, Chieh-Chih Wang, Wen-Chieh Lin

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments Accepted for publication in ICRA 2021. Code is available: For scanning RO, see https://github.com/kungfrank/pw_ndt_radar_scan_matching . For automotive RO, see https://github.com/kungfrank/pw_ndt_automotive_radar_scan_matching

Video Waterdrop Removal via Spatio-Temporal Fusion in Driving Scenes

Qiang Wen, Yue Wu, Qifeng Chen

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

Multisensor Data Fusion for Reliable Obstacle Avoidance

Thanh Nguyen Canh, Truong Son Nguyen, Cong Hoang Quach, Xiem HoangVan, Manh Duong Phung

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments In the 11th International Conference on Control, Automation and Information Sciences (ICCAIS 2022), Hanoi, Vietnam

"Seeing Sound": Audio Classification with the Wigner-Wille Distribution and Convolutional Neural Networks

Antonios Marios Christonasis, Stef van Eijndhoven, Peter Duin

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

Semantic Segmentation of Fruits on Multi-sensor Fused Data in Natural Orchards

Hanwen Kang, Xing Wang

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Shared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion with Missing Data

Aditya Dutt, Alina Zare, Paul Gader

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments 19 pages, 16 figures; Accepted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Uncertainty Guided Depth Fusion for Spike Camera

Jianing Li, Jiaming Liu, Xiaobao Wei, Jiyuan Zhang, Ming Lu, Lei Ma, Li Du, Tiejun Huang, Shanghang Zhang

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

Comments 18 pages, 11 figures

Low-Light Video Enhancement with Synthetic Event Guidance

Lin Liu, Junfeng An, Jianzhuang Liu, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian

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

Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion

Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkila

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments 10 pages, 9 figures

Multi-Sensor Fusion based Robust Row Following for Compact Agricultural Robots

Andres Eduardo Baquero Velasquez, Vitor Akihiro Hisano Higuti, Mateus Valverde Gasparino, Arun Narenthiran Sivakumar, Marcelo Becker, Girish Chowdhary

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Journal ref Field Robotics 2 2022 1291 1319

A9-Dataset: Multi-Sensor Infrastructure-Based Dataset for Mobility Research

Christian Creß, Walter Zimmer, Leah Strand, Venkatnarayanan Lakshminarasimhan, Maximilian Fortkord, Siyi Dai, Alois Knoll

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments Accepted for IEEE Intelligent Vehicles Symposium 2022 (IV22)

Atlas Fusion -- Modern Framework for Autonomous Agent Sensor Data Fusion

Adam Ligocki, Ales Jelinek, Ludek Zalud

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

Comments 6 pages

Journal ref ELECTRO 2022

Sensor Data Fusion in Top-View Grid Maps using Evidential Reasoning with Advanced Conflict Resolution

Sven Richter, Frank Bieder, Sascha Wirges, Christoph Stiller

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

A Credible and Robust approach to Ego-Motion Estimation using an Automotive Radar

Karim Haggag, Sven Lange, Tim Pfeifer, Peter Protzel

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments Withdraw V1, IEEE RAL header Copyrights should be in the first page and have been done on V2

Light Robust Monocular Depth Estimation For Outdoor Environment Via Monochrome And Color Camera Fusion

Hyeonsoo Jang, Yeongmin Ko, Younkwan Lee, Moongu Jeon

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

DC-Loc: Accurate Automotive Radar Based Metric Localization with Explicit Doppler Compensation

Pengen Gao, Shengkai Zhang, Wei Wang, Chris Xiaoxuan Lu

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 7 pages, accepted by IEEE Conference on Robotics and Automation (ICRA) 2022

AutoPlace: Robust Place Recognition with Single-chip Automotive Radar

Kaiwen Cai, Bing Wang, Chris Xiaoxuan Lu

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments Accepted by IEEE Conference on Robotics and Automation (ICRA), 8 pages

Design of Sensor Fusion Driver Assistance System for Active Pedestrian Safety

I-Hsi Kao, Ya-Zhu Yian, Jian-An Su, Yi-Horng Lai, Jau-Woei Perng, Tung-Li Hsieh, Yi-Shueh Tsai, Min-Shiu Hsieh

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments The 14th International Conference on Automation Technology (Automation 2017), December 8-10, 2017, Kaohsiung, Taiwan

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

Marco Tranzatto, Frank Mascarich, Lukas Bernreiter, Carolina Godinho, Marco Camurri, Shehryar Khattak, Tung Dang, Victor Reijgwart, Johannes Loeje, David Wisth, Samuel Zimmermann, Huan Nguyen, Marius Fehr, Lukas Solanka, Russell Buchanan, Marko Bjelonic, Nikhil Khedekar, Mathieu Valceschini, Fabian Jenelten, Mihir Dharmadhikari, Timon Homberger, Paolo De Petris, Lorenz Wellhausen, Mihir Kulkarni, Takahiro Miki, Satchel Hirsch, Markus Montenegro, Christos Papachristos, Fabian Tresoldi, Jan Carius, Giorgio Valsecchi, Joonho Lee, Konrad Meyer, Xiangyu Wu, Juan Nieto, Andy Smith, Marco Hutter, Roland Siegwart, Mark Mueller, Maurice Fallon, Kostas Alexis

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 50 pages, 25 figures. Accepted at Field Robotics, 2021

HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception

Arnav Vaibhav Malawade, Trier Mortlock, Mohammad Abdullah Al Faruque

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments Accepted to be published in the 13th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2022)

Continuous-time Radar-inertial Odometry for Automotive Radars

Yin Zhi Ng, Benjamin Choi, Robby Tan, Lionel Heng

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments In Proceedings of the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional Networks

Nicolae-Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu

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

Comments Accepted in IEEE Access

Large-Scale Topological Radar Localization Using Learned Descriptors

Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

BFAR-Bounded False Alarm Rate detector for improved radar odometry estimation

Anas Alhashimi, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Achim J. Lilienthal

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 6 pages, submitted to ICRA

Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method

Yupeng Jia, Haiyong Luo, Fang Zhao, Guanlin Jiang, Yuhang Li, Jiaquan Yan, Zhuqing Jiang, Zitian Wang

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments IROS 2021

Error State Extended Kalman Filter Multi-Sensor Fusion for Unmanned Aerial Vehicle Localization in GPS and Magnetometer Denied Indoor Environments

Lovro Markovic, Marin Kovac, Robert Milijas, Marko Car, Stjepan Bogdan

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Technology Report : Robotic Localization and Navigation System for Visible Light Positioning and SLAM

Weipeng Guan, Patrick Yue

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments This is a technology report from Guan Weipeng's work in HKUST

Knowledge Transfer across Imaging Modalities Via Simultaneous Learning of Adaptive Autoencoders for High-Fidelity Mobile Robot Vision

Md Mahmudur Rahman, Tauhidur Rahman, Donghyun Kim, Mohammad Arif Ul Alam

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments Accepted in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021) in Prague, Czech Republic

Journal ref 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021) in Prague, Czech Republic

Multi-Sensor State Estimation Fusion on Quadruped Robot Locomotion

Chen Yao, Zhenzhong Jia

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments paper has some inerial errors and we have to withdraw to prove a better result here

Radar-Camera Pixel Depth Association for Depth Completion

Yunfei Long, Daniel Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty, Praveen Narayanan

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments IEEE Conference on Computer Vision and Pattern Recognition, 2021