自动驾驶

Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation

Alexander Fuchs, Johanna Rock, Mate Toth, Paul Meissner, Franz Pernkopf

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

Journal ref IEEE International Radar Conference 2021

Automotive Radar Interference Mitigation with Unfolded Robust PCA based on Residual Overcomplete Auto-Encoder Blocks

Nicolae-Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu, Yonina C. Eldar

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

Comments Accepted at the CVPR 2021 Embedded Vision Workshop

Radar SLAM: A Robust SLAM System for All Weather Conditions

Ziyang Hong, Yvan Petillot, Andrew Wallace, Sen Wang

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments Under review

A multi-sensor robotic platform for ground mapping and estimation beyond the visible spectrum

Annalisa Milella, Giulio Reina, Michael Nielsen

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

Journal ref Precision Agriculture, 2019, 20, 423-444

Multi Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments

Li Qingqing, Jorge Peña Queralta, Tuan Nguyen Gia, Zhuo Zou, Tomi Westerlund

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Journal ref Unmanned.System,Flight.08,no.03,pp229-237(2020)

ColoRadar: The Direct 3D Millimeter Wave Radar Dataset

Andrew Kramer, Kyle Harlow, Christopher Williams, Christoffer Heckman

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 8 pages, 7 figures, 3863 words, also submitted to IJRR

Obstacle Avoidance onboard MAVs using a FMCW RADAR

Nikhil Wessendorp, Raoul Dinaux, Julien Dupeyroux, Guido de Croon

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

Comments 6 pages, 8 figures

Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions

Jui-Te Huang, Chen-Lung Lu, Po-Kai Chang, Ching-I Huang, Chao-Chun Hsu, Zu Lin Ewe, Po-Jui Huang, Hsueh-Cheng Wang

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments For further details, please visit https://arg-nctu.github.io/projects/deeprl-mmWave.html

Journal ref IEEE Robotics and Automation Letters, 2021

Super-Resolution Time-Resolved Imaging using Computational Sensor Fusion

C. Callenberg, A. Lyons, D. den Brok, A. Fatima, A. Turpin, V. Zickus, L. Machesky, J. Whitelaw, D. Faccio, M. B. Hullin

专题命中 多传感器融合 ：LiDAR(abstract)；分类 eess.IV

Comments 8 pages, 4 figures

Multi-Task Multi-Sensor Fusion for 3D Object Detection

Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun

专题命中 多传感器融合 ：BEV(abstract)；分类 cs.CV

Comments CVPR 2019

Off-the-shelf sensor vs. experimental radar -- How much resolution is necessary in automotive radar classification?

Nicolas Scheiner, Ole Schumann, Florian Kraus, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick

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

Comments Accepted @ 23rd International Conference on Information Fusion (FUSION)

Journal ref 2020 IEEE 23rd International Conference on Information Fusion (FUSION)

All-Weather sub-50-cm Radar-Inertial Positioning

Lakshay Narula, Peter A. Iannucci, Todd E. Humphreys

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 17 pages, 12 figures. arXiv admin note: substantial text overlap with arXiv:2005.00704

Depth Estimation from Monocular Images and Sparse Radar Data

Juan-Ting Lin, Dengxin Dai, Luc Van Gool

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments 9 pages, 6 figures, Accepted to 2020 IEEE International Conference on Intelligent Robots and Systems (IROS 2020)

Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles

Ramin Nabati, Hairong Qi

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

Comments 12th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, IROS 2020

Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather

Mario Bijelic, Tobias Gruber, Fahim Mannan, Florian Kraus, Werner Ritter, Klaus Dietmayer, Felix Heide

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Journal ref The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Ego-motion and Surrounding Vehicle State Estimation Using a Monocular Camera

Jun Hayakawa, Behzad Dariush

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Journal ref 2019 IEEE Intelligent Vehicles Symposium (IV)

TEX-CUP: The University of Texas Challenge for Urban Positioning

Lakshay Narula, Daniel M. LaChapelle, Matthew J. Murrian, J. Michael Wooten, Todd E. Humphreys, Elliot de Toldi, Guirec Morvant, Jean-Baptiste Lacambre

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 8 pages, 6 figures. To appear in IEEE/ION Position, Location, and Navigation Symposium (PLANS), 2020

Automotive-Radar-Based 50-cm Urban Positioning

Lakshay Narula, Peter A. Iannucci, Todd E. Humphreys

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 12 pages, 10 figures. To appear in IEEE/ION Position, Location, and Navigation Symposium (PLANS) 2020

Realtime Collision Avoidance for Mobile Robots in Dense Crowds using Implicit Multi-sensor Fusion and Deep Reinforcement Learning

Jing Liang, Utsav Patel, Adarsh Jagan Sathyamoorthy, Dinesh Manocha

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 8 pages, 7 figures

Attention-based Multi-modal Fusion Network for Semantic Scene Completion

Siqi Li, Changqing Zou, Yipeng Li, Xibin Zhao, Yue Gao

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

Comments Accepted by AAAI 2020

The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset

Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments The Oxford Radar RobotCar Dataset Website: http://ori.ox.ac.uk/datasets/radar-robotcar-dataset

Sensor Fusion: Gated Recurrent Fusion to Learn Driving Behavior from Temporal Multimodal Data

Athma Narayanan, Avinash Siravuru, Behzad Dariush

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments Accepted to Robotics and Automation Letters 2020

An Adversarial Super-Resolution Remedy for Radar Design Trade-offs

Karim Armanious, Sherif Abdulatif, Fady Aziz, Urs Schneider, Bin Yang

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

Comments Accepted in EUSIPCO 2019, 5 pages

Multi-Resolution Multi-Modal Sensor Fusion For Remote Sensing Data With Label Uncertainty

Xiaoxiao Du, Alina Zare

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

On Single Source Robustness in Deep Fusion Models

Taewan Kim, Joydeep Ghosh

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

Comments Accepted to NeurIPS 2019

Heterogeneous Multi-sensor Calibration based on Graph Optimization

Hongyu Chen, Sören Schwertfeger

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Confidence Propagation through CNNs for Guided Sparse Depth Regression

Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan

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

Comments 14 pages, 14 Figures

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence 2019

Deep Radar Detector

Daniel Brodeski, Igal Bilik, Raja Giryes

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments Accepted to RadarConf 2019

Multi-scale Cross-form Pyramid Network for Stereo Matching

Zhidong Zhu, Mingyi He, Yuchao Dai, Zhibo Rao, Bo Li

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

Comments Accepted by ICIEA2019

A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors

Tong Qin, Shaozu Cao, Jie Pan, Shaojie Shen

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV