自动驾驶

Abductive Ego-View Accident Video Understanding for Safe Driving Perception

Jianwu Fang, Lei-lei Li, Junfei Zhou, Junbin Xiao, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua

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

Comments Accepted by CVPR2024. This is not the camera-ready version. The Project page: http://www.lotvsmmau.net

Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter

Hsu-kuang Chiu, Chien-Yi Wang, Min-Hung Chen, Stephen F. Smith

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

Comments Accepted by IEEE International Conference on Robotics and Automation (ICRA), 2024. Code: https://github.com/eddyhkchiu/DMSTrack/ Video: https://eddyhkchiu.github.io/dmstrack.github.io/

LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object Detection

Jingyu Song, Lingjun Zhao, Katherine A. Skinner

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

Comments Accepted to ICRA 2024

Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets

Ross Greer, Mohan Trivedi

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

Neural Rendering based Urban Scene Reconstruction for Autonomous Driving

Shihao Shen, Louis Kerofsky, Varun Ravi Kumar, Senthil Yogamani

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

Comments Accepted for publication in Electronic Imaging, Autonomous Vehicles and Machines 2024. Qualitative results are shared in https://youtu.be/EK47fYJiY3M

MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection

Yuxue Yang, Lue Fan, Zhaoxiang Zhang

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

Comments ICLR 2024, code is available at https://github.com/BraveGroup/PointSAM-for-MixSup

Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time

Raphael van Kempen, Tim Rehbronn, Abin Jose, Johannes Stegmaier, Bastian Lampe, Timo Woopen, Lutz Eckstein

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

Comments Published as part of the III. International Conference on Electrical, Computer and Energy Technologies (ICECET 2023), Cape Town, South Africa, November 16-17, 2023

Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving

Daniel Bogdoll, Lukas Bosch, Tim Joseph, Helen Gremmelmaier, Yitian Yang, J. Marius Zöllner

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

Comments Accepted for publication at SSCI 2023

RLAD: Reinforcement Learning from Pixels for Autonomous Driving in Urban Environments

Daniel Coelho, Miguel Oliveira, Vitor Santos

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

Comments in IEEE Transactions on Automation Science and Engineering

K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions

Dong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya

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

Comments Accepted at NeurIPS 2022 Datasets and Benchmarks Track

Journal ref Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS Datasets and Benchmarks 2022)

Towards Unsupervised Object Detection From LiDAR Point Clouds

Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun

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

Comments CVPR 2023

Visual Perception System for Autonomous Driving

Qi Zhang, Siyuan Gou, Wenbin Li

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

Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks

Farzeen Munir, Shoaib Azam, Tomasz Kucner, Ville Kyrki, Moongu Jeon

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

Comments ITSC conference paper

Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving

Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindstrom, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson

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

Comments International Conference on Computer Vision (ICCV) 2023

Lidar Panoptic Segmentation and Tracking without Bells and Whistles

Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljoša Ošep, Deva Ramanan

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

Comments IROS 2023. Code at https://github.com/abhinavagarwalla/most-lps

Transfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on LiDAR Data

Gregory Sech, Paolo Soleni, Wouter B. Verschoof-van der Vaart, Žiga Kokalj, Arianna Traviglia, Marco Fiorucci

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

Comments Accepted to IEEE International Geoscience and Remote Sensing Symposium 2023 (IGARSS 2023) @IEEE copyright

MOVES: Movable and Moving LiDAR Scene Segmentation in Label-Free settings using Static Reconstruction

Prashant Kumar, Dhruv Makwana, Onkar Susladkar, Anurag Mittal, Prem Kumar Kalra

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

Comments 35 pages, 8 figures, 6 tables

Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection

Lakshmi Nair, David Widemann, Brad Turcott, Nick Moore, Alexandra Wleklinski, Darius Bunandar, Ioannis Papavasileiou, Shihu Wang, Eric Logan

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

LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection

Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan

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

360$^\circ$ from a Single Camera: A Few-Shot Approach for LiDAR Segmentation

Laurenz Reichardt, Nikolas Ebert, Oliver Wasenmüller

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

Comments ICCV Workshop 2023

LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment

Zhiwei Zhang, Zhizhong Zhang, Qian Yu, Ran Yi, Yuan Xie, Lizhuang Ma

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

Comments Accepted as ICCV 2023 paper

Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Driving

Faisal Hawlader, François Robinet, Raphaël Frank

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

SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving

Shuai Yuan, Shuzhi Yu, Hannah Kim, Carlo Tomasi

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

Comments Accepted by ICCV-2023; Code is available at https://github.com/duke-vision/semantic-unsup-flow-release

Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey

Daniel Bogdoll, Svenja Uhlemeyer, Kamil Kowol, J. Marius Zöllner

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

Comments Accepted for publication at IV 2023

Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving

Kshitij Bhardwaj, Zishen Wan, Arijit Raychowdhury, Ryan Goldhahn

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

Comments Accepted in 2023 Design, Automation & Test in Europe Conference (DATE 2023) - Late Breaking Results

A Study on Quantifying Sim2Real Image Gap in Autonomous Driving Simulations Using Lane Segmentation Attention Map Similarity

Seongjeong Park, Jinu Pahk, Lennart Lorenz Freimuth Jahn, Yongseob Lim, Jinung An, Gyeungho Choi

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

Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving

Wei-Xin Li, Xiaodong Yang

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

Comments ICML 2023

OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving

Varun Ravi Kumar, Senthil Yogamani, Hazem Rashed, Ganesh Sistu, Christian Witt, Isabelle Leang, Stefan Milz, Patrick Mäder

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

Comments Best Robot Vision paper award finalist (top 4). Camera ready version accepted for RA-L and ICRA 2021 publication

Data and Knowledge for Overtaking Scenarios in Autonomous Driving

Mariana Pinto, Inês Dutra, Joaquim Fonseca

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

Comments 24 pages

Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective

Wenbo Shao, Yanchao Xu, Liang Peng, Jun Li, Hong Wang

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

Comments Accepted by 2023 IEEE International Conference on Robotics and Automation (ICRA 2023)