Failing to Learn: Autonomously Identifying Perception Failures for
Self-driving Cars

Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars

30 June 2017

Matthew Johnson-Roberson

Papers citing "Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars"

17 / 17 papers shown

Title
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers Lam Nguyen Tung Steven Cho Xiaoning Du Neelofar Neelofar Valerio Terragni Stefano Ruberto Aldeida Aleti 189 2 0 30 Oct 2024
Error Detection and Constraint Recovery in Hierarchical Multi-Label Classification without Prior Knowledge Joshua Shay Kricheli Khoa Vo Aniruddha Datta Spencer Ozgur Paulo Shakarian 40 2 0 21 Jul 2024
Model-free Test Time Adaptation for Out-Of-Distribution Detection Yi-Fan Zhang Xue Wang Tian Zhou Kun Yuan Zhang Zhang Liang Wang Rong Jin Tien-Ping Tan TTA OODD 30 4 0 28 Nov 2023
Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification B. Xi Kevin Scaria Paulo Shakarian Paulo Shakarian 34 2 0 28 Aug 2023
Enhancing Your Trained DETRs with Box Refinement Yiqun Chen Qiang Chen Pei Sun Shoufa Chen Jingdong Wang Jian Cheng 38 2 0 21 Jul 2023
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles Pasquale Antonante Sushant Veer Zheng Li Xinshuo Weng Luca Carlone Marco Pavone 54 9 0 03 May 2023
An Independent Evaluation of ChatGPT on Mathematical Word Problems (MWP) Paulo Shakarian Abhinav Koyyalamudi Noel Ngu Lakshmivihari Mareedu 31 64 0 23 Feb 2023
Evaluating Uncertainty Calibration for Open-Set Recognition Zongyao Lyu Nolan B. Gutierrez William J. Beksi UQCV 35 1 0 15 May 2022
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes Jongseo Lee Jianxiang Feng Matthias Humt M. Müller Rudolph Triebel UQCV 48 21 0 20 Sep 2021
A Survey on Open Set Recognition Atefeh Mahdavi Marco M. Carvalho BDL 26 35 0 18 Aug 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 37 66 0 26 Jul 2021
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees Aaron M. Roth Jing Liang Tianyi Zhou 52 8 0 22 Apr 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 31 330 0 22 Mar 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends Q. Rahman Peter Corke Feras Dayoub OOD 29 51 0 05 Jan 2021
Lessons Learned from Accident of Autonomous Vehicle Testing: An Edge Learning-aided Offloading Framework Bofu Yang Xuelin Cao Xiangfang Li Chau Yuen Lijun Qian 16 29 0 27 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study Biao Gao Yancheng Pan Chengkun Li Sibo Geng Huijing Zhao 3DPC 19 25 0 08 Jun 2020
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 39 739 0 19 Jun 2019