自动驾驶 - arXivDaily 专题

1811.02188 2020-12-07 cs.AI 57%

Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning

Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan Gardner, Daniel Genin, Joshua Silbermann, Michael Owen, Mykel J. Kochenderfer

专题命中仿真评测：autonomous driving(abstract)；分类 cs.AI

Comments 36 pages, 17 figures, 5 tables

Journal ref Journal of Artificial Intelligence Research (JAIR) 69 (2020) 1165-1201

2011.11946 2020-12-02 cs.CV cs.LG 57%

Benchmarking Image Retrieval for Visual Localization

Noé Pion, Martin Humenberger, Gabriela Csurka, Yohann Cabon, Torsten Sattler

专题命中仿真评测：autonomous driving(abstract)；分类 cs.CV

Comments International Conference on 3D Vision, 2020

2011.09469 2020-11-19 stat.AP cs.AI 57%

Improved Grey System Models for Predicting Traffic Parameters

Gurcan Comert, Negash Begashaw, Nathan Huynh

专题命中仿真评测：occupancy(abstract)；分类 cs.AI

Comments 16 pages, 7 figures

2011.08534 2020-11-19 cs.CV 57%

A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views

Riccardo Spezialetti, David Joseph Tan, Alessio Tonioni, Keisuke Tateno, Federico Tombari

专题命中仿真评测：occupancy(abstract)；分类 cs.CV

Comments Accepted to 3DV 2020 as oral

2011.05741 2020-11-12 cs.LG cs.RO 57%

Behaviorally Diverse Traffic Simulation via Reinforcement Learning

Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan DeCastro, Kuan-Hui Lee, Adrien Gaidon

专题命中仿真评测：autonomous driving(abstract)；分类 cs.RO

Comments 8 pages, 16 figures

Journal ref IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, pp. 2103-2110

2008.00715 2020-11-09 cs.RO 57%

Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning

Ari Viitala, Rinu Boney, Yi Zhao, Alexander Ilin, Juho Kannala

专题命中仿真评测：autonomous driving(abstract)；分类 cs.RO

2006.02518 2020-09-14 cs.RO 57%

Autonomous Vehicle Benchmarking using Unbiased Metrics

David Paz, Po-jung Lai, Nathan Chan, Yuqing Jiang, Henrik I. Christensen

专题命中仿真评测：autonomous driving(abstract)；分类 cs.RO

Comments 6 pages, 7 figures, IROS 2020

2003.01197 2020-07-24 cs.RO cs.LG 57%

Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method

Wenhao Ding, Baiming Chen, Minjun Xu, Ding Zhao

专题命中仿真评测：autonomous driving(abstract)；分类 cs.RO

Comments Accepted to IROS 2020

2007.04198 2020-07-09 cs.CV 57%

KIT MOMA: A Mobile Machines Dataset

Yusheng Xiang, Hongzhe Wang, Tianqing Su, Ruoyu Li, Christine Brach, Samuel S. Mao, Marcus Geimer

专题命中仿真评测：autonomous driving(abstract)；分类 cs.CV

Comments 15 pages; 17 Figures

2004.06805 2020-06-29 cs.RO cs.LG stat.ML 57%

Interpretable Safety Validation for Autonomous Vehicles

Anthony Corso, Mykel J. Kochenderfer

专题命中仿真评测：autonomous driving(abstract)；分类 cs.RO

2004.06801 2020-06-29 cs.RO cs.LG cs.SY eess.SY stat.ML 57%

Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition

Anthony Corso, Ritchie Lee, Mykel J. Kochenderfer

专题命中仿真评测：autonomous driving(abstract)；分类 cs.RO

2006.09731 2020-06-18 cs.RO cs.SY eess.SY 57%

An Open-Source Scenario Architect for Autonomous Vehicles

Tim Stahl, Johannes Betz

专题命中仿真评测：autonomous driving(abstract)；分类 cs.RO

Comments Accepted at 2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)

2006.00057 2020-06-18 cs.RO 57%

Simulation Framework for Mobile Robots in Planetary-Like Environments

Riccardo Giubilato, Andrea Masili, Sebastiano Chiodini, Marco Pertile, Stefano Debei

专题命中仿真评测：LiDAR(abstract)；分类 cs.RO

Comments To be presented at the 7th IEEE International Workshop on Metrology for Aerospace (MetroAerospace)

2005.02136 2020-05-06 cs.CV 57%

Psychophysical Evaluation of Deep Re-Identification Models

Hamish Nicholson

专题命中仿真评测：autonomous driving(abstract)；分类 cs.CV

Comments Submitted as a senior thesis at Harvard College

2004.07980 2020-04-20 eess.SY cs.RO cs.SE cs.SY eess.SP 57%

Co-simulation Platform for Developing InfoRich Energy-Efficient Connected and Automated Vehicles

Shunsuke Aoki, Lung En Jan, Junfeng Zhao, Anand Bhat, Ragunathan, Rajkumar, Chen-Fang Chang

专题命中仿真评测：autonomous driving(abstract)；分类 cs.RO

1805.04687 2020-04-09 cs.CV 57%

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell

专题命中仿真评测：autonomous driving(abstract)；分类 cs.CV

Comments Published at IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020

2004.01286 2020-04-06 cs.NI cs.RO 57%

RACE: Reinforced Cooperative Autonomous Vehicle Collision AvoidancE

Yali Yuan, Robert Tasik, Sripriya Srikant Adhatarao, Yachao Yuan, Zheli Liu, Xiaoming Fu

专题命中仿真评测：autonomous driving(abstract)；分类 cs.RO

1911.04074 2020-03-16 cs.RO cs.MA 57%

SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic

Panpan Cai, Yiyuan Lee, Yuanfu Luo, David Hsu

专题命中仿真评测：autonomous driving(abstract)；分类 cs.RO

1905.05940 2020-01-24 cs.RO 57%

Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations

Dean Zadok, Tom Hirshberg, Amir Biran, Kira Radinsky, Ashish Kapoor

专题命中仿真评测：self-driving(abstract)；分类 cs.RO

1906.10742 2019-12-24 cs.LG cs.AI cs.SE stat.ML 57%

Machine Learning Testing: Survey, Landscapes and Horizons

Jie M. Zhang, Mark Harman, Lei Ma, Yang Liu

专题命中仿真评测：autonomous driving(abstract)；分类 cs.AI

1906.08953 2019-12-09 cs.CV 57%

Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios

Tobias Gruber, Mario Bijelic, Felix Heide, Werner Ritter, Klaus Dietmayer

专题命中仿真评测：LiDAR(abstract)；分类 cs.CV

Comments 3DV 2019

Journal ref Published in: 2019 International Conference on 3D Vision (3DV)

1905.07287 2019-11-06 cs.CV 57%

CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching

Max Mehltretter, Christian Heipke

专题命中仿真评测：autonomous driving(abstract)；分类 cs.CV

Comments The IEEE International Conference on Computer Vision (ICCV) Workshops (2019)

1908.05540 2019-08-16 cs.CV cs.LG 57%

To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation

Amir Atapour-Abarghouei, Toby P. Breckon

专题命中仿真评测：autonomous driving(abstract)；分类 cs.CV

Comments International Conference on 3D Vision (3DV) 2019

1905.10144 2019-05-27 cs.LG cs.AI stat.ML 57%

Adaptive Symmetric Reward Noising for Reinforcement Learning

Refael Vivanti, Talya D. Sohlberg-Baris, Shlomo Cohen, Orna Cohen

专题命中仿真评测：autonomous driving(abstract)；分类 cs.AI

Comments 9 pages, 7 figures, conference

1904.05916 2019-05-15 cs.CV 57%

Synthetic Examples Improve Generalization for Rare Classes

Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Neel Joshi, Pietro Perona

专题命中仿真评测：self-driving(abstract)；分类 cs.CV

1904.09273 2019-04-22 cs.AI cs.LG 57%

"Why did you do that?": Explaining black box models with Inductive Synthesis

Görkem Paçacı, David Johnson, Steve McKeever, Andreas Hamfelt

专题命中仿真评测：self-driving(abstract)；分类 cs.AI

Comments 12 pages, 1 figure, accepted for publication at the Solving Problems with Uncertainties workshop as part of ICCS 2019, Faro, Portugal, June 12-14

1904.08585 2019-04-19 cs.RO 57%

Metrics for the Evaluation of localisation Robustness

Siqi Yi, Stewart Worrall, Eduardo Nebot

专题命中仿真评测：self-driving(abstract)；分类 cs.RO

1904.01318 2019-04-03 cs.CV 57%

Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents

Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal

专题命中仿真评测：autonomous driving(abstract)；分类 cs.CV

1903.03829 2019-03-12 cs.RO 57%

Realtime Rooftop Landing Site Identification and Selection in Urban City Simulation

Jeremy Castagno, Yu Yao, Ella Atkins

专题命中仿真评测：LiDAR(abstract)；分类 cs.RO

1812.04728 2019-01-23 cs.RO 57%

Guided Exploration of Human Intentions for Human-Robot Interaction

Min Chen, David Hsu, Wee Sun Lee

专题命中仿真评测：autonomous driving(abstract)；分类 cs.RO

Comments Appears at the 13th International Workshop on the Algorithmic Foundations of Robotics, 2018

1. 仿真评测 1485 篇

Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning

Benchmarking Image Retrieval for Visual Localization

Improved Grey System Models for Predicting Traffic Parameters

A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views

Behaviorally Diverse Traffic Simulation via Reinforcement Learning

Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning

Autonomous Vehicle Benchmarking using Unbiased Metrics

Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method

KIT MOMA: A Mobile Machines Dataset

Interpretable Safety Validation for Autonomous Vehicles

Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition

An Open-Source Scenario Architect for Autonomous Vehicles

Simulation Framework for Mobile Robots in Planetary-Like Environments

Psychophysical Evaluation of Deep Re-Identification Models

Co-simulation Platform for Developing InfoRich Energy-Efficient Connected and Automated Vehicles

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

RACE: Reinforced Cooperative Autonomous Vehicle Collision AvoidancE

SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic

Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations

Machine Learning Testing: Survey, Landscapes and Horizons

Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios

CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching

To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation

Adaptive Symmetric Reward Noising for Reinforcement Learning

Synthetic Examples Improve Generalization for Rare Classes

"Why did you do that?": Explaining black box models with Inductive Synthesis

Metrics for the Evaluation of localisation Robustness

Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents

Realtime Rooftop Landing Site Identification and Selection in Urban City Simulation

Guided Exploration of Human Intentions for Human-Robot Interaction