自动驾驶

Learning an Uncertainty-Aware Object Detector for Autonomous Driving

Gregory P. Meyer, Niranjan Thakurdesai

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

Probabilistic 3D Multi-Object Tracking for Autonomous Driving

Hsu-kuang Chiu, Antonio Prioletti, Jie Li, Jeannette Bohg

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

3D Sensing of a Moving Object with a Nodding 2D LIDAR and Reconfigurable Mirrors

Anindya Harchowdhury, Lindsay Kleeman, Leena Vachhani

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

Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment

Meixin Zhu, Jingyun Hu, Ziyuan Pu, Zhiyong Cui, Liangwu Yan, Yinhai Wang

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

Comments 8 pages, 12 figures

Identifying Unknown Instances for Autonomous Driving

Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun

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

Comments 3rd Conference on Robot Learning (CoRL 2019)

Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model

Dong Chen, Longsheng Jiang, Yue Wang, Zhaojian Li

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

Comments 8 pages, 6 figures

Low-cost LIDAR based Vehicle Pose Estimation and Tracking

Chen Fu, Chiyu Dong, Xiao Zhang, John M. Dolan

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

Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving

Maria Huegle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker

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

FisheyeMODNet: Moving Object detection on Surround-view Cameras for Autonomous Driving

Marie Yahiaoui, Hazem Rashed, Letizia Mariotti, Ganesh Sistu, Ian Clancy, Lucie Yahiaoui, Varun Ravi Kumar, Senthil Yogamani

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

Comments Accepted for ICCV 2019 Workshop on 360° Perception and Interaction. A shorter version was presented at IMVIP 2019

SeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles

Zhe Liu, Chuanzhe Suo, Shunbo Zhou, Huanshu Wei, Yingtian Liu, Hesheng Wang, Yun-Hui Liu

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

Comments This paper has been accepted by IROS-2019

A Multimodal Vision Sensor for Autonomous Driving

Dongming Sun, Xiao Huang, Kailun Yang

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

Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR

Tarlan Suleymanov, Lars Kunze, Paul Newman

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

Comments Accepted at the 22nd IEEE Intelligent Transportation Systems Conference (ITSC19), October, 2019, Auckland, New Zealand

Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving

Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan

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

Comments IJCAI 2019: the 28th International Joint Conference on Artificial Intelligence (IJCAI) 2019, August 10 - 16, Macao. (Preprint / to appear)

A Methodological Review of Visual Road Recognition Procedures for Autonomous Driving Applications

Kai Li Lim, Thomas Bräunl

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

Comments 14 pages, 6 Figures, 2 Tables. Permission to reprint granted from original figure authors

Stereo R-CNN based 3D Object Detection for Autonomous Driving

Peiliang Li, Xiaozhi Chen, Shaojie Shen

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

Comments Accepted by cvpr2019

BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving

Jianru Xue, Jianwu Fang, Tao Li, Bohua Zhang, Pu Zhang, Zhen Ye, Jian Dou

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

Comments To appear in ICRA2019

MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving

Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Yogamani, Martin Jagersand, Ahmad El-Sallab

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

Autonomous Driving System Design for Formula Student Driverless Racecar

Hanqing Tian, Jun Ni, Jibin Hu

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

Comments The 2018 IEEE Intelligent Vehicles Symposium

Road Detection Technique Using Filters with Application to Autonomous Driving System

Y. O. Agunbiade, J. O. Dehinbo, T. Zuva, A. K. Akanbi

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

Comments 7 pages, 7 figures, International Journal of Computing, Communications & Instrumentation Engg. (IJCCIE) 2016

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud

Waleed Ali, Sherif Abdelkarim, Mohamed Zahran, Mahmoud Zidan, Ahmad El Sallab

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

Comments Paper accepted in ECCV 2018, "3D Reconstruction meets Semantics" workshop

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

Marvin Teichmann, Michael Weber, Marius Zoellner, Roberto Cipolla, Raquel Urtasun

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

Comments 9 pages, 7 tables and 9 figures; first place on Kitti Road Segmentation; Code on GitHub (https://github.com/MarvinTeichmann/MultiNet)

Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation

Stefan Hoermann, Philipp Henzler, Martin Bach, Klaus Dietmayer

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

Fast Scene Understanding for Autonomous Driving

Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

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

Comments Published at "Deep Learning for Vehicle Perception", workshop at the IEEE Symposium on Intelligent Vehicles 2017

Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling

Sebastian Ramos, Stefan Gehrig, Peter Pinggera, Uwe Franke, Carsten Rother

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

Comments Submitted to the IEEE International Conference on Robotics and Automation (ICRA) 2017

Vehicle Detection from 3D Lidar Using Fully Convolutional Network

Bo Li, Tianlei Zhang, Tian Xia

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

Comments Robotics: Science and Systems, 2016

Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving

Pranav Rajpurkar, Toki Migimatsu, Jeff Kiske, Royce Cheng-Yue, Sameep Tandon, Tao Wang, Andrew Ng

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

Occupancy Grids: A Stochastic Spatial Representation for Active Robot Perception

A. Elfes

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

Comments Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990)

Super LiDAR Intensity for Robotic Perception

超声波雷达强度用于机器人感知

Wei Gao, Jie Zhang, Mingle Zhao, Zhiyuan Zhang, Shu Kong, Maani Ghaffari, Dezhen Song, Cheng-Zhong Xu, Hui Kong

机构 * State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC)（物联网智能城市国家重点实验室） ； Faculty of Science and Technology（科技学院） ； University of Macau（澳门大学） ； School of Computing and Information Systems（计算与信息学院） ； Singapore Management University（新加坡管理大学） ； Department of Naval Architecture and Marine Engineering and Department of Robotics（船舶工程与海洋工程系和机器人系） ； University of Michigan（密歇根大学） ； Department of Robotics（机器人系） ； Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)（穆罕默德·本·拉希德智能人工智能大学） 纠错

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

AI总结 本文提出了一种基于非重复扫描LiDAR的密集强度图像生成方法，以提升低成本LiDAR在机器人感知中的应用。

Comments IEEE Robotics and Automation Letters (RA-L), 2026 (https://ieeexplore.ieee.org/document/11395610). The dataset and code are available at: (https://github.com/IMRL/Super-LiDAR-Intensity)

Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object Shapes

Nicola Marinello, Simen Cassiman, Jonas Heylen, Marc Proesmans, Luc Van Gool

机构 * KU Leuven（库勒万大学） ； TRACE vzw（TRACE公司） ； ETH Zürich（苏黎世联邦理工学院） ； INSAIT（INSAIT研究所） 纠错

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

Comments Accepted to CVPR 2025 Workshop on Autonomous Driving

TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection

Martín Bayón-Gutiérrez, María Teresa García-Ordás, Héctor Alaiz Moretón, Jose Aveleira-Mata, Sergio Rubio Martín, José Alberto Benítez-Andrades

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

Comments Source code: https://github.com/martin-bayon/TEDNet

Journal ref M Bayón-Gutiérrez, MT García-Ordás, H Alaiz Moretón, J Aveleira-Mata, S Rubio-Martín, JA Benítez-Andrades. TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection. Logic Journal of the IGPL. 2024