自动驾驶 - arXivDaily 专题

2201.08116 2022-01-21 cs.AI cs.LG 57%

Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic Junction Driving

Zehong Cao, Jie Yun

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

2110.14464 2021-12-06 cs.LG cs.RO 57%

Learning from demonstrations with SACR2: Soft Actor-Critic with Reward Relabeling

Jesus Bujalance Martin, Raphael Chekroun, Fabien Moutarde

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

Comments Presented at Deep RL Workshop, NeurIPS 2021

2111.08600 2021-11-17 cs.RO 57%

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

Xingshuai Dong, Matthew A. Garratt, Sreenatha G. Anavatti, Hussein A. Abbass

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

2111.01203 2021-11-04 cs.LG cs.AI 57%

One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search

Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, Shaolei Ren

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

Comments Accepted by the ACM SIGMETRICS 2022. Published in the Proceedings of the ACM on Measurement and Analysis of Computing Systems, vol. 5, no. 3, Article 34, December 2021. GitHub: https://github.com/Ren-Research/OneProxy

Journal ref Proc. ACM Meas. Anal. Comput. Syst., vol. 5, no. 3, Article 34, December 2021

2110.05594 2021-10-13 cs.CV 57%

Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo

Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool

专题命中仿真评测：occupancy(abstract)；分类 cs.CV

Comments Accepted for publication at IEEE/CVF WACV 2022. 18 pages

2110.05205 2021-10-12 cs.RO stat.ML 57%

Navigation In Urban Environments Amongst Pedestrians Using Multi-Objective Deep Reinforcement Learning

Niranjan Deshpande, Dominique Vaufreydaz, Anne Spalanzani

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

Journal ref 24th IEEE International Conference on Intelligent Transportation Systems - ITSC2021, Sep 2021, Indianapolis, United States

2010.13365 2021-10-12 cs.LG cs.CV 57%

Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy

Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon

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

2010.00993 2021-09-16 cs.RO cs.LG cs.MA 57%

MADRaS : Multi Agent Driving Simulator

Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran

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

2109.04527 2021-09-13 cs.CV 57%

CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization

Ara Jafarzadeh, Manuel Lopez Antequera, Pau Gargallo, Yubin Kuang, Carl Toft, Fredrik Kahl, Torsten Sattler

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

2102.05714 2021-09-06 cs.LG cs.AI 57%

Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation

Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar

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

Comments Accepted by AAAI 2021; Fixed a typo in equation 3

2108.10168 2021-08-24 cs.AI 57%

CGEMs: A Metric Model for Automatic Code Generation using GPT-3

Aishwarya Narasimhan, Krishna Prasad Agara Venkatesha Rao, Veena M B

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

Comments 11 pages, 6 figures, 2 tables

2103.13861 2021-07-30 cs.AI cs.LG cs.NE 57%

Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving

Briti Gangopadhyay, Harshit Soora, Pallab Dasgupta

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

Comments The paper is under consideration in Transactions on Intelligent Transportation Systems

1803.03758 2021-07-14 cs.RO 57%

A Tutorial On Autonomous Vehicle Steering Controller Design, Simulation and Implementation

Ali Boyali, Seichi Mita, Vijay John

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

2105.11606 2021-05-26 cs.CV physics.optics 57%

Centimeter-Wave Free-Space Time-of-Flight Imaging

Seung-Hwan Baek, Noah Walsh, Ilya Chugunov, Zheng Shi, Felix Heide

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

2103.15970 2021-03-31 cs.CV 57%

Does it work outside this benchmark? Introducing the Rigid Depth Constructor tool, depth validation dataset construction in rigid scenes for the masses

Clément Pinard, Antoine Manzanera

专题命中仿真评测：LiDAR(abstract)；分类 cs.CV

2103.05383 2021-03-10 cs.RO 57%

Are We Ready for Unmanned Surface Vehicles in Inland Waterways? The USVInland Multisensor Dataset and Benchmark

Yuwei Cheng, Mengxin Jiang, Jiannan Zhu, Yimin Liu

专题命中仿真评测：LiDAR(abstract)；分类 cs.RO

Comments 8 pages, 11 figures, to be published in IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Robotics and Automation (ICRA) 2021

2102.07659 2021-02-17 cs.AI cs.MA 57%

Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems

Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou Ammar, Jun Wang, Matthew E. Taylor

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

Comments AAMAS 2021

2102.06587 2021-02-15 cs.LG cs.AI 57%

Disturbing Reinforcement Learning Agents with Corrupted Rewards

Rubén Majadas, Javier García, Fernando Fernández

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

Comments This paper has been accepted in RAISA3 workshop celebrated in ECAI 2020 conference

2006.11305 2021-02-11 cs.NE cs.AI cs.LG 57%

Generalization of Agent Behavior through Explicit Representation of Context

Cem C Tutum, Suhaib Abdulquddos, Risto Miikkulainen

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

Comments 7 pages, 6 figures, 3 tables. Revised with more comprehensive CARLA results. arXiv admin note: substantial text overlap with arXiv:2002.05640

2102.03119 2021-02-08 cs.AI 57%

Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning

Julian Bernhard, Stefan Pollok, Alois Knoll

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

Comments Published at IEEE IV 2019

2101.03554 2021-01-12 cs.RO 57%

Sub-Goal Social Force Model for Collective Pedestrian Motion Under Vehicle Influence

Dongfang Yang, Fatema T. Johora, Keith A. Redmill, Ümit Özgüner, Jörg P. Müller

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

Comments submitted to IEEE Transactions on Intelligent Transportation Systems

2005.05179 2021-01-01 cs.CV 57%

Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis

Zichao Zhang, Torsten Sattler, Davide Scaramuzza

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

Comments 25 pages, 16 figures. Int J Comput Vis (2020)

2009.08311 2020-12-29 cs.LG cs.RO stat.ML 57%

Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation

Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao

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

Comments 8 pages, 7 figures

1909.10970 2020-12-22 cs.CV 57%

Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward

Chenchen Zhao, Yeqiang Qian, Ming Yang

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

Comments 29 pages, 12 figures

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

1. 仿真评测 1479 篇

Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic Junction Driving

Learning from demonstrations with SACR2: Soft Actor-Critic with Reward Relabeling

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search

Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo

Navigation In Urban Environments Amongst Pedestrians Using Multi-Objective Deep Reinforcement Learning

Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy

MADRaS : Multi Agent Driving Simulator

CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization

Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation

CGEMs: A Metric Model for Automatic Code Generation using GPT-3

Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving

A Tutorial On Autonomous Vehicle Steering Controller Design, Simulation and Implementation

Centimeter-Wave Free-Space Time-of-Flight Imaging

Does it work outside this benchmark? Introducing the Rigid Depth Constructor tool, depth validation dataset construction in rigid scenes for the masses

Are We Ready for Unmanned Surface Vehicles in Inland Waterways? The USVInland Multisensor Dataset and Benchmark

Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems

Disturbing Reinforcement Learning Agents with Corrupted Rewards

Generalization of Agent Behavior through Explicit Representation of Context

Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning

Sub-Goal Social Force Model for Collective Pedestrian Motion Under Vehicle Influence

Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis

Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation

Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward

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