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Autonomous Vehicles Meet the Physical World: RSS, Variability,
  Uncertainty, and Proving Safety (Expanded Version)

Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety (Expanded Version)

31 October 2019
P. Koopman
Beth Osyk
Jack Weast
ArXiv (abs)PDFHTML

Papers citing "Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety (Expanded Version)"

10 / 10 papers shown
Title
CooperRisk: A Driving Risk Quantification Pipeline with Multi-Agent Cooperative Perception and Prediction
CooperRisk: A Driving Risk Quantification Pipeline with Multi-Agent Cooperative Perception and Prediction
Mingyue Lei
Zewei Zhou
Hongchen Li
Jia Hu
Jiaqi Ma
17
0
0
18 Jun 2025
Data-centric Operational Design Domain Characterization for Machine
  Learning-based Aeronautical Products
Data-centric Operational Design Domain Characterization for Machine Learning-based Aeronautical Products
F. Kaakai
ShridharShreederAdibhatla
Ganesh J. Pai
Emmanuelle Escorihuela
16
8
0
15 Jul 2023
System Theoretic View on Uncertainties
System Theoretic View on Uncertainties
Roman Gansch
Ahmad Adee
70
16
0
07 Mar 2023
Efficient Speed Planning for Autonomous Driving in Dynamic Environment
  with Interaction Point Model
Efficient Speed Planning for Autonomous Driving in Dynamic Environment with Interaction Point Model
Yingbing Chen
Ren Xin
Jie Cheng
Qingwen Zhang
Xiaodong Mei
Ming-Yuan Liu
Lujia Wang
83
13
0
19 Sep 2022
Criticality Metrics for Automated Driving: A Review and Suitability
  Analysis of the State of the Art
Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art
Lukas Westhofen
Christian Neurohr
Tjark Koopmann
Martin Butz
barbara Schutt
F. Utesch
Birte Neurohr
Christian Gutenkunst
Eckard Böde
71
100
0
05 Aug 2021
Certified Control: An Architecture for Verifiable Safety of Autonomous
  Vehicles
Certified Control: An Architecture for Verifiable Safety of Autonomous Vehicles
Daniel Jackson
Valerie Richmond
Mike Wang
Jeff Chow
Uriel Guajardo
Soonho Kong
S. Campos
Geoffrey Litt
Nikos Arechiga
33
5
0
29 Mar 2021
Automatic Generation of Road Geometries to Create Challenging Scenarios
  for Automated Vehicles Based on the Sensor Setup
Automatic Generation of Road Geometries to Create Challenging Scenarios for Automated Vehicles Based on the Sensor Setup
Thomas Ponn
T. Lanz
Frank Diermeyer
50
5
0
26 Aug 2020
A Comparison of Uncertainty Estimation Approaches in Deep Learning
  Components for Autonomous Vehicle Applications
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications
F. Arnez
H. Espinoza
A. Radermacher
Franccois Terrier
UQCV
71
30
0
26 Jun 2020
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in
  Challenging Real-World Driving Scenarios
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios
Matthew Gadd
D. Martini
Letizia Marchegiani
Paul Newman
Lars Kunze
66
21
0
05 May 2020
Search-based Test-Case Generation by Monitoring Responsibility Safety
  Rules
Search-based Test-Case Generation by Monitoring Responsibility Safety Rules
Mohammad Hekmatnejad
Bardh Hoxha
Georgios Fainekos
56
16
0
25 Apr 2020
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