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  4. Cited By
Enabling Pedestrian Safety using Computer Vision Techniques: A Case
  Study of the 2018 Uber Inc. Self-driving Car Crash

Enabling Pedestrian Safety using Computer Vision Techniques: A Case Study of the 2018 Uber Inc. Self-driving Car Crash

30 May 2018
Puneet Kohli
Anjali Chadha
ArXiv (abs)PDFHTML

Papers citing "Enabling Pedestrian Safety using Computer Vision Techniques: A Case Study of the 2018 Uber Inc. Self-driving Car Crash"

17 / 17 papers shown
Title
Invariance Pair-Guided Learning: Enhancing Robustness in Neural Networks
Invariance Pair-Guided Learning: Enhancing Robustness in Neural Networks
Martin Surner
Abdelmajid Khelil
Ludwig Bothmann
OOD
240
0
0
26 Feb 2025
Establishing and Evaluating Trustworthy AI: Overview and Research
  Challenges
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges
Dominik Kowald
S. Scher
Viktoria Pammer-Schindler
Peter Müllner
Kerstin Waxnegger
...
Andreas Truegler
Eduardo E. Veas
Roman Kern
Tomislav Nad
Simone Kopeinik
211
22
0
15 Nov 2024
AI Risk Management Should Incorporate Both Safety and Security
AI Risk Management Should Incorporate Both Safety and Security
Xiangyu Qi
Yangsibo Huang
Yi Zeng
Edoardo Debenedetti
Jonas Geiping
...
Chaowei Xiao
Yue Liu
Dawn Song
Peter Henderson
Prateek Mittal
AAML
251
19
0
29 May 2024
Green Runner: A tool for efficient deep learning component selection
Green Runner: A tool for efficient deep learning component selection
Jai Kannan
204
2
0
29 Jan 2024
Green Runner: A tool for efficient model selection from model
  repositories
Green Runner: A tool for efficient model selection from model repositories
Jai Kannan
Scott Barnett
Anj Simmons
Taylan Selvi
Luís Cruz
118
1
0
26 May 2023
A Systematic Literature Review of User Trust in AI-Enabled Systems: An
  HCI Perspective
A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI PerspectiveInternational journal of human computer interactions (IJHCI), 2022
T. A. Bach
Amna Khan
Harry P. Hallock
Gabriel Beltrao
Sonia C. Sousa
166
179
0
18 Apr 2023
Spatial-Temporal Anomaly Detection for Sensor Attacks in Autonomous
  Vehicles
Spatial-Temporal Anomaly Detection for Sensor Attacks in Autonomous Vehicles
Martin Higgins
D. N. Jha
D. Wallom
AAML
101
1
0
15 Dec 2022
ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in
  CARLA
ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLA
Shreyas Ramakrishna
Baiting Luo
Christopher B. Kuhn
G. Karsai
Abhishek Dubey
AAML
143
24
0
19 Jul 2022
Data generation using simulation technology to improve perception
  mechanism of autonomous vehicles
Data generation using simulation technology to improve perception mechanism of autonomous vehicles
Minh Cao
R. Ramezani
117
14
0
01 Jul 2022
An Investigation of Drivers' Dynamic Situational Trust in Conditionally
  Automated Driving
An Investigation of Drivers' Dynamic Situational Trust in Conditionally Automated Driving
Jackie Ayoub
Lilit Avetisyan
Mustapha Makki
Feng Zhou
125
29
0
08 Dec 2021
Efficient Out-of-Distribution Detection Using Latent Space of
  $β$-VAE for Cyber-Physical Systems
Efficient Out-of-Distribution Detection Using Latent Space of βββ-VAE for Cyber-Physical Systems
Shreyas Ramakrishna
Zahra Rahiminasab
G. Karsai
Arvind Easwaran
Abhishek Dubey
OODD
134
36
0
26 Aug 2021
Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on
  Autonomous Vehicles
Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous VehiclesUSENIX Security Symposium (USENIX Security), 2021
R. S. Hallyburton
Yupei Liu
Yulong Cao
Z. Morley Mao
Miroslav Pajic
AAML
231
71
0
13 Jun 2021
Explainable Object-induced Action Decision for Autonomous Vehicles
Explainable Object-induced Action Decision for Autonomous VehiclesComputer Vision and Pattern Recognition (CVPR), 2020
Yiran Xu
Xiaoyin Yang
Lihang Gong
Hsuan-Chu Lin
Tz-Ying Wu
Yunsheng Li
Nuno Vasconcelos
160
134
0
20 Mar 2020
Integrating Deep Reinforcement Learning with Model-based Path Planners
  for Automated Driving
Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving
Ekim Yurtsever
L. Capito
Keith A. Redmill
Ü. Özgüner
149
20
0
02 Feb 2020
Fooling a Real Car with Adversarial Traffic Signs
Fooling a Real Car with Adversarial Traffic Signs
N. Morgulis
Alexander Kreines
Shachar Mendelowitz
Yuval Weisglass
AAML
158
96
0
30 Jun 2019
Predicting Model Failure using Saliency Maps in Autonomous Driving
  Systems
Predicting Model Failure using Saliency Maps in Autonomous Driving Systems
Sina Mohseni
Akshay V. Jagadeesh
Zinan Lin
151
14
0
19 May 2019
Adapting Semantic Segmentation Models for Changes in Illumination and
  Camera Perspective
Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective
W. Zhou
Alex Zyner
Stewart Worrall
E. Nebot
108
22
0
13 Sep 2018
1