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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
M. Ramanagopal
Cyrus Anderson
Ram Vasudevan
Matthew Johnson-Roberson
ArXivPDFHTML

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

13 / 13 papers shown
Title
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers
Lam Nguyen Tung
Steven Cho
Xiaoning Du
Neelofar Neelofar
Valerio Terragni
Stefano Ruberto
Aldeida Aleti
136
2
0
30 Oct 2024
Error Detection and Constraint Recovery in Hierarchical Multi-Label Classification without Prior Knowledge
Error Detection and Constraint Recovery in Hierarchical Multi-Label Classification without Prior Knowledge
Joshua Shay Kricheli
Khoa Vo
Aniruddha Datta
Spencer Ozgur
Paulo Shakarian
32
2
0
21 Jul 2024
Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification
Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification
B. Xi
Kevin Scaria
Paulo Shakarian
Paulo Shakarian
32
2
0
28 Aug 2023
Enhancing Your Trained DETRs with Box Refinement
Enhancing Your Trained DETRs with Box Refinement
Yiqun Chen
Qiang Chen
Pei Sun
Shoufa Chen
Jingdong Wang
Jian Cheng
30
2
0
21 Jul 2023
Task-Aware Risk Estimation of Perception Failures for Autonomous
  Vehicles
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles
Pasquale Antonante
Sushant Veer
Zheng Li
Xinshuo Weng
Luca Carlone
Marco Pavone
49
9
0
03 May 2023
Evaluating Uncertainty Calibration for Open-Set Recognition
Evaluating Uncertainty Calibration for Open-Set Recognition
Zongyao Lyu
Nolan B. Gutierrez
William J. Beksi
UQCV
27
1
0
15 May 2022
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks
  with Sparse Gaussian Processes
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
Jongseo Lee
Jianxiang Feng
Matthias Humt
M. Müller
Rudolph Triebel
UQCV
46
21
0
20 Sep 2021
A Survey on Open Set Recognition
A Survey on Open Set Recognition
Atefeh Mahdavi
Marco M. Carvalho
BDL
11
34
0
18 Aug 2021
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision
  Trees
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees
Aaron M. Roth
Jing Liang
Dinesh Manocha
40
8
0
22 Apr 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection
SSD: A Unified Framework for Self-Supervised Outlier Detection
Vikash Sehwag
M. Chiang
Prateek Mittal
OODD
14
330
0
22 Mar 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey
  of Emerging Trends
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
Q. Rahman
Peter Corke
Feras Dayoub
OOD
27
51
0
05 Jan 2021
Lessons Learned from Accident of Autonomous Vehicle Testing: An Edge
  Learning-aided Offloading Framework
Lessons Learned from Accident of Autonomous Vehicle Testing: An Edge Learning-aided Offloading Framework
Bofu Yang
Xuelin Cao
Xiangfang Li
Chau Yuen
Lijun Qian
6
29
0
27 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and
  Experimental Study
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
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