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A Formal Safety Characterization of Advanced Driver Assist Systems in
  the Car-Following Regime with Scenario-Sampling

A Formal Safety Characterization of Advanced Driver Assist Systems in the Car-Following Regime with Scenario-Sampling

17 February 2022
Bowen Weng
Minghao Zhu
Keith A. Redmill
ArXivPDFHTML

Papers citing "A Formal Safety Characterization of Advanced Driver Assist Systems in the Car-Following Regime with Scenario-Sampling"

3 / 3 papers shown
Title
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
Xugui Zhou
Anqi Chen
Maxfield Kouzel
Haotian Ren
Morgan McCarty
Cristina Nita-Rotaru
H. Alemzadeh
AAML
47
2
0
18 Jul 2023
Towards Guaranteed Safety Assurance of Automated Driving Systems with
  Scenario Sampling: An Invariant Set Perspective (Extended Version)
Towards Guaranteed Safety Assurance of Automated Driving Systems with Scenario Sampling: An Invariant Set Perspective (Extended Version)
Bowen Weng
L. Capito
Ü. Özgüner
Keith A. Redmill
36
21
0
19 Apr 2021
Accelerated Evaluation of Automated Vehicles Safety in Lane Change
  Scenarios Based on Importance Sampling Techniques
Accelerated Evaluation of Automated Vehicles Safety in Lane Change Scenarios Based on Importance Sampling Techniques
Ding Zhao
Henry Lam
H. Peng
S. Bao
D. Leblanc
Kazutoshi Nobukawa
C. S. Pan
55
355
0
16 May 2016
1