自动驾驶

Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach

Zahra Chaghazardi, Saber Fallah, Alireza Tamaddoni-Nezhad

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

Comments In Proceedings ICLP 2023, arXiv:2308.14898

Journal ref EPTCS 385, 2023, pp. 201-212

WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models

Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha

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

Comments Accepted in Vision Datasets Understanding at CVPR 2023

Lidar based 3D Tracking and State Estimation of Dynamic Objects

Patil Shubham Suresh, Gautham Narayan Narasimhan

专题命中 感知 ：LiDAR(title)；分类 cs.RO、cs.CV

Comments 6 pages, 12 figures, Carnegie Mellon University work

Online Camera-to-ground Calibration for Autonomous Driving

Binbin Li, Xinyu Du, Yao Hu, Hao Yu, Wende Zhang

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

CoPEM: Cooperative Perception Error Models for Autonomous Driving

Andrea Piazzoni, Jim Cherian, Roshan Vijay, Lap-Pui Chau, Justin Dauwels

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

Comments Accepted at 2022 IEEE International Conference on Intelligent Transportation Systems - ITSC2022 6 pages, 6 figures

Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR

Sangyun Shin, Stuart Golodetz, Madhu Vankadari, Kaichen Zhou, Andrew Markham, Niki Trigoni

专题命中 感知 ：LiDAR(title)；分类 cs.RO、cs.CV

Anytime-Lidar: Deadline-aware 3D Object Detection

Ahmet Soyyigit, Shuochao Yao, Heechul Yun

专题命中 感知 ：LiDAR(title)；分类 cs.CV、cs.AI

Comments RTCSA 2022

VTrackIt: A Synthetic Self-Driving Dataset with Infrastructure and Pooled Vehicle Information

Mayuresh Savargaonkar, Abdallah Chehade

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

Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer

Zoltán Lőrincz, Márton Szemenyei, Róbert Moni

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

Comments Accepted by ICLR 2022 Workshop on Generalizable Policy Learning in Physical World. Source code is available at: https://github.com/lzoltan35/duckietown_imitation_learning

Forecasting from LiDAR via Future Object Detection

Neehar Peri, Jonathon Luiten, Mengtian Li, Aljoša Ošep, Laura Leal-Taixé, Deva Ramanan

专题命中 感知 ：LiDAR(title)；分类 cs.RO、cs.CV

Comments This work has been accepted to Computer Vision and Pattern Recognition (CVPR) 2022

Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensor

Hyungtae Lim, Minho Oh, Hyun Myung

专题命中 感知 ：LiDAR(title)；分类 cs.RO、cs.CV

Contextual road lane and symbol generation for autonomous driving

Ajay Soni, Pratik Padamwar, Krishna Reddy Konda

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

SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving

Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel

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

Comments Code available at: https://github.com/wgcban/SPIN_RoadMapper.git

Journal ref IEEE Conference of Robotics and Automation (ICRA) 2022

Active Perception using Light Curtains for Autonomous Driving

Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held

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

Comments Published at the European Conference on Computer Vision (ECCV), 2020

RUHSNet: 3D Object Detection Using Lidar Data in Real Time

Abhinav Sagar

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

Comments The results in this paper is not correct as assumptions used while designing the network was found to be wrong

Embedded Vision for Self-Driving on Forest Roads

Sorin Grigorescu, Mihai Zaha, Bogdan Trasnea, Cosmin Ginerica

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

Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual Grounding

Thierry Deruyttere, Guillem Collell, Marie-Francine Moens

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

Comments Updated acknowledgements

DeepWORD: A GCN-based Approach for Owner-Member Relationship Detection in Autonomous Driving

Zizhang Wu, Man Wang, Jason Wang, Wenkai Zhang, Muqing Fang, Tianhao Xu

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

Comments Accepted by IEEE ICME

Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications

Yunhai Han, Yuhan Liu, David Paz, Henrik Christensen

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

Comments 7 pages, 7 figures, 1 table, Accepted to ICRA 2021

SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving

Varun Ravi Kumar, Marvin Klingner, Senthil Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Maeder

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

Comments Camera ready version + supplementary. Accepted for presentation at Winter Conference on Applications of Computer Vision 2021

Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving

Michal Uricar, Ganesh Sistu, Hazem Rashed, Antonin Vobecky, Varun Ravi Kumar, Pavel Krizek, Fabian Burger, Senthil Yogamani

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

Comments Camera ready version + supplementary material. Accepted for presentation at Winter Conference on Applications of Computer Vision 2021

Tracking from Patterns: Learning Corresponding Patterns in Point Clouds for 3D Object Tracking

Jieqi Shi, Peiliang Li, Shaojie Shen

专题命中 感知 ：self-driving(abstract)；LiDAR(abstract)；autonomous driving(comments,journal_ref)；分类 cs.CV、cs.AI

Comments 4 pages, ECCV2020 Workshop on Perception for Autonomous Driving(PAD2020)

Journal ref ECCV2020 Workshop on Perception for Autonomous Driving(PAD2020)

Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving

Xiaofeng Liu, Yimeng Zhang, Xiongchang Liu, Song Bai, Site Li, Jane You

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

Comments Accepted to IEEE Transactions on Intelligent Transportation Systems (T-ITS)

Pedestrian Models for Autonomous Driving Part I: Low-Level Models, from Sensing to Tracking

Fanta Camara, Nicola Bellotto, Serhan Cosar, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, André Dietrich, Charles W. Fox

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

Comments Accepted for publication in the IEEE Transactions on Intelligent Transportation Systems

3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map

Kentaro Wada, Masaki Murooka, Kei Okada, Masayuki Inaba

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

Comments 6 pages, 9 figures, IEEE-RAS International Conference on Humanoid Robots 2016

Monocular Plan View Networks for Autonomous Driving

Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell

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

Comments 8 pages, 9 figures

YUVMultiNet: Real-time YUV multi-task CNN for autonomous driving

Thomas Boulay, Said El-Hachimi, Mani Kumar Surisetti, Pullarao Maddu, Saranya Kandan

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

Comments This paper is accepted for CVPR workshop demo

Object Detection and Classification in Occupancy Grid Maps using Deep Convolutional Networks

Sascha Wirges, Tom Fischer, Jesus Balado Frias, Christoph Stiller

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

Comments 6 pages, 4 tables, 4 figures

Journal ref 2018 IEEE Intelligent Transportation Systems Conference (ITSC)

Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent Agent Assessment

Thomio Watanabe, Denis Wolf

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

SeDAR - Semantic Detection and Ranging: Humans can localise without LiDAR, can robots?

Oscar Mendez, Simon Hadfield, Nicolas Pugeault, Richard Bowden

专题命中 感知 ：LiDAR(title)；分类 cs.RO、cs.CV