Towards Defensive Autonomous Driving: Collecting and Probing Driving
Demonstrations of Mixed Qualities

Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities

16 September 2021

Papers citing "Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities"

19 / 19 papers shown

Title
iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous Driving Zhenhua Xu Yuxiang Sun Ming-Yuan Liu 90 41 0 31 Mar 2021
Rule-based Optimal Control for Autonomous Driving Wei Xiao N. Mehdipour Anne-Sophie Collin A. Bin-Nun Emilio Frazzoli R. D. Tebbens C. Belta 37 76 0 14 Jan 2021
A2D2: Audi Autonomous Driving Dataset Jakob Geyer Y. Kassahun Mentar Mahmudi Xavier Ricou Rupesh Durgesh ... M. Sturm Oleksandr Vorobiov Martin Oelker Sebastian Garreis P. Schuberth 3DV 3DPC 71 385 0 14 Apr 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 331 1,681 0 02 Feb 2020
Probabilistic 3D Multi-Object Tracking for Autonomous Driving Hsu-kuang Chiu Antonio Prioletti Jie Li Jeannette Bohg 3DPC 43 138 0 16 Jan 2020
Scalability in Perception for Autonomous Driving: Waymo Open Dataset Pei Sun Henrik Kretzschmar Xerxes Dotiwalla Aurelien Chouard Vijaysai Patnaik ... Shuyang Cheng Yu Zhang Jonathon Shlens Zhifeng Chen Dragomir Anguelov 117 2,877 0 10 Dec 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving Jianyu Chen Bodi Yuan Masayoshi Tomizuka 59 265 0 20 Apr 2019
nuScenes: A multimodal dataset for autonomous driving Holger Caesar Varun Bankiti Alex H. Lang Sourabh Vora Venice Erin Liong Qiang Xu Anush Krishnan Yuxin Pan G. Baldan Oscar Beijbom 3DPC 282 5,732 0 26 Mar 2019
Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety Jianyu Chen Bodi Yuan Masayoshi Tomizuka 30 134 0 02 Mar 2019
The ApolloScape Open Dataset for Autonomous Driving and its Application Xinyu Huang Peng Wang Xinjing Cheng Dingfu Zhou Qichuan Geng Ruigang Yang 3DPC 55 567 0 16 Mar 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 113 881 0 26 Nov 2017
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 123 1,066 0 06 Oct 2017
Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling Sungjoon Choi Kyungjae Lee Sungbin Lim Songhwai Oh 73 97 0 03 Sep 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 168 2,068 0 08 Jun 2017
Deep Reinforcement Learning framework for Autonomous Driving Ahmad El-Sallab Mohammed Abdou E. Perot S. Yogamani 89 969 0 08 Apr 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 155 3,452 0 07 Oct 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,606 0 06 Apr 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,039 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 445 16,940 0 20 Dec 2013

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