自动驾驶

A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design

Felipe Manfio Barbosa, Fernando Santos Osório

专题命中 感知 ：autonomous driving(abstract)；分类 cs.CV、cs.AI

Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection

Oguzhan Akcin, Po-han Li, Shubhankar Agarwal, Sandeep Chinchali

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

Comments Accepted to CoRL 2022

Semi-supervised 3D Object Detection via Temporal Graph Neural Networks

Jianren Wang, Haiming Gang, Siddharth Ancha, Yi-Ting Chen, David Held

专题命中 感知 ：autonomous driving(abstract)；分类 cs.CV、cs.AI

Comments 3DV 2021

Continuous-Time Gaussian Process Motion-Compensation for Event-vision Pattern Tracking with Distance Fields

Cedric Le Gentil, Ignacio Alzugaray, Teresa Vidal-Calleja

专题命中 感知 ：occupancy(abstract)；分类 cs.RO、cs.CV

Comments Accepted for presentation at the 2023 IEEE International Conference on Robotics and Automation

X$^3$KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection

Marvin Klingner, Shubhankar Borse, Varun Ravi Kumar, Behnaz Rezaei, Venkatraman Narayanan, Senthil Yogamani, Fatih Porikli

专题命中 感知 ：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Accepted to CVPR 2023

DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor Fusion

Mohamed Nagy, Majid Khonji, Jorge Dias, Sajid Javed

专题命中 感知 ：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments \c{opyright} 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals

Shihong Fang, Haoran Zhu, Devansh Bisla, Anna Choromanska, Satish Ravindran, Dongyin Ren, Ryan Wu

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

Comments accepted by ICRA 2023

Real3D-Aug: Point Cloud Augmentation by Placing Real Objects with Occlusion Handling for 3D Detection and Segmentation

Petr Šebek, Šimon Pokorný, Patrik Vacek, Tomáš Svoboda

专题命中 感知 ：LiDAR(abstract)；分类 cs.CV、cs.AI

Comments Submitted on 15th June 2022 to IEEE RA-L journal

Journal ref Computer Vision Winter Workshop 2023

L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras

Kevin Ta, David Bruggemann, Tim Brödermann, Christos Sakaridis, Luc Van Gool

专题命中 感知 ：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Accepted to ICRA2023

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection

Xue Yang, Gefan Zhang, Wentong Li, Xuehui Wang, Yue Zhou, Junchi Yan

专题命中 感知 ：autonomous driving(abstract)；分类 cs.CV、cs.AI

Comments 15 pages, 6 figures, 8 tables, accepted by ICLR 2023, the source code is available at https://github.com/yangxue0827/h2rbox-mmrotate and https://github.com/yangxue0827/h2rbox-jittor

A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey

Elahe Arani, Shruthi Gowda, Ratnajit Mukherjee, Omar Magdy, Senthilkumar Kathiresan, Bahram Zonooz

专题命中 感知 ：autonomous driving(abstract)；分类 cs.CV、cs.AI

Comments Published in Transactions on Machine Learning Research (TMLR) with Survey Certification

Journal ref Transactions on Machine Learning Research, 2022

Exploring Active 3D Object Detection from a Generalization Perspective

Yadan Luo, Zhuoxiao Chen, Zijian Wang, Xin Yu, Zi Huang, Mahsa Baktashmotlagh

专题命中 感知 ：LiDAR(abstract)；分类 cs.CV、cs.AI

Comments To appear in ICLR 2023

Uncertainty Calibration and its Application to Object Detection

Fabian Küppers

专题命中 感知 ：autonomous driving(abstract)；分类 cs.CV、cs.AI

Comments PhD thesis at University of Wuppertal, cite by: 'Fabian Küppers. "Uncertainty Calibration and its Application to Object Detection." PhD Thesis, University of Wuppertal, January 2023'

Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning Approach

Hemang Chawla, Matti Jukola, Terence Brouns, Elahe Arani, Bahram Zonooz

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

Comments Accepted at 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation

Abhishek Cauligi, R. Michael Swan, Masahiro Ono, Shreyansh Daftry, John Elliott, Larry Matthies, Deegan Atha

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

Comments IEEE Aerospace Conference 2023

Rethinking Dimensionality Reduction in Grid-based 3D Object Detection

Dihe Huang, Ying Chen, Yikang Ding, Jinli Liao, Jianlin Liu, Kai Wu, Qiang Nie, Yong Liu, Chengjie Wang, Zhiheng Li

专题命中 感知 ：BEV(abstract)；分类 cs.RO、cs.CV

BuildSeg: A General Framework for the Segmentation of Buildings

Lei Li, Tianfang Zhang, Stefan Oehmcke, Fabian Gieseke, Christian Igel

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

Rethinking Voxelization and Classification for 3D Object Detection

Youshaa Murhij, Alexander Golodkov, Dmitry Yudin

专题命中 感知 ：LiDAR(abstract)；分类 cs.CV、cs.AI

Comments Accepted in ICONIP 2022. arXiv admin note: text overlap with arXiv:1902.06326 by other authors

What should AI see? Using the Public's Opinion to Determine the Perception of an AI

Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk

专题命中 感知 ：self-driving(abstract)；分类 cs.CV、cs.AI

Comments 26 pages, 12 figures

Journal ref AI and Ethics (2023)

DaDe: Delay-adaptive Detector for Streaming Perception

Wonwoo Jo, Kyungshin Lee, Jaewon Baik, Sangsun Lee, Dongho Choi, Hyunkyoo Park

专题命中 感知 ：autonomous driving(abstract)；分类 cs.CV、cs.AI

Comments This paper is accepted in VISAPP - 2023 (Full Paper, Oral Presentation)

Monocular 3D Object Detection using Multi-Stage Approaches with Attention and Slicing aided hyper inference

Abonia Sojasingarayar, Ashish Patel

专题命中 感知 ：self-driving(abstract)；分类 cs.CV、cs.AI

Hardware Acceleration of Lane Detection Algorithm: A GPU Versus FPGA Comparison

Mohamed Alshemi, Sherif Saif, Mohamed Taher

专题命中 感知 ：autonomous driving(abstract)；分类 cs.CV、eess.IV

Neural Enhanced Belief Propagation for Multiobject Tracking

Mingchao Liang, Florian Meyer

专题命中 感知 ：autonomous driving(abstract)；分类 cs.CV、cs.AI

Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation

Hyunsu Rhee, Dongchan Min, Sunil Hwang, Bruno Andreis, Sung Ju Hwang

专题命中 感知 ：autonomous driving(abstract)；分类 cs.CV、cs.AI

AI Model Utilization Measurements For Finding Class Encoding Patterns

Peter Bajcsy, Antonio Cardone, Chenyi Ling, Philippe Dessauw, Michael Majurski, Tim Blattner, Derek Juba, Walid Keyrouz

专题命中 感知 ：self-driving(abstract)；分类 cs.CV、cs.AI

Comments 45 pages, 29 figures, 7 tables

Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data

Matthias Zeller, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss

专题命中 感知 ：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Accepted for publication in IEEE Robotics and Automation Letters (RA-L)

PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology

Mohammad Arif Ul Alam, Md Mahmudur Rahman, Jared Q Widberg

专题命中 感知 ：LiDAR(abstract)；分类 cs.CV、cs.AI

Comments Accepted in IEEE International Conference on Computer Communications 2021

3D Neural Field Generation using Triplane Diffusion

J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein

专题命中 感知 ：occupancy(abstract)；分类 cs.CV、cs.AI

Comments Project page: https://jryanshue.com/nfd

Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation

Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi

专题命中 感知 ：autonomous driving(abstract)；分类 cs.CV、cs.AI

Comments Published in Transactions on Machine Learning Research (TMLR) 2022

Journal ref Transactions on Machine Learning Research 08/2022

Attribution-based XAI Methods in Computer Vision: A Review

Kumar Abhishek, Deeksha Kamath

专题命中 感知 ：autonomous driving(abstract)；分类 cs.CV、cs.AI

Comments Technical report from December 2020; 22 pages, 1 figure