ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.00805
  4. Cited By
Comparing Offline and Online Testing of Deep Neural Networks: An
  Autonomous Car Case Study

Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study

28 November 2019
Fitash Ul Haq
Donghwan Shin
S. Nejati
Lionel C. Briand
ArXivPDFHTML

Papers citing "Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study"

10 / 10 papers shown
Title
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Ruben Grewal
Paolo Tonella
Andrea Stocco
48
12
0
29 Apr 2024
Uncertainty Quantification for Deep Neural Networks: An Empirical
  Comparison and Usage Guidelines
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines
Michael Weiss
Paolo Tonella
BDL
UQCV
30
11
0
14 Dec 2022
Intersection focused Situation Coverage-based Verification and
  Validation Framework for Autonomous Vehicles Implemented in CARLA
Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLA
Zaid Tahir
R. Alexander
16
9
0
24 Dec 2021
Mind the Gap! A Study on the Transferability of Virtual vs
  Physical-world Testing of Autonomous Driving Systems
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems
Andrea Stocco
Brian Pulfer
Paolo Tonella
27
68
0
21 Dec 2021
Collaborative Artificial Intelligence Needs Stronger Assurances Driven
  by Risks
Collaborative Artificial Intelligence Needs Stronger Assurances Driven by Risks
Jubril Gbolahan Adigun
Matteo Camilli
Michael Felderer
Andrea Giusti
D. Matt
A. Perini
B. Russo
A. Susi
17
5
0
01 Dec 2021
Efficient and Effective Generation of Test Cases for Pedestrian
  Detection -- Search-based Software Testing of Baidu Apollo in SVL
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL
Hamid Ebabi
M. H. Moghadam
Markus Borg
Gregory Gay
Afonso Fontes
Kasper Socha
11
31
0
16 Sep 2021
Towards Risk Modeling for Collaborative AI
Towards Risk Modeling for Collaborative AI
Matteo Camilli
Michael Felderer
Andrea Giusti
D. Matt
A. Perini
B. Russo
A. Susi
25
4
0
12 Mar 2021
A Software Engineering Perspective on Engineering Machine Learning
  Systems: State of the Art and Challenges
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges
G. Giray
33
120
0
14 Dec 2020
Digital Twins Are Not Monozygotic -- Cross-Replicating ADAS Testing in
  Two Industry-Grade Automotive Simulators
Digital Twins Are Not Monozygotic -- Cross-Replicating ADAS Testing in Two Industry-Grade Automotive Simulators
Markus Borg
Raja Ben Abdessalem
S. Nejati
Francois-Xavier Jegeden
Donghwan Shin
33
32
0
12 Dec 2020
Automatic Test Suite Generation for Key-Points Detection DNNs using
  Many-Objective Search (Experience Paper)
Automatic Test Suite Generation for Key-Points Detection DNNs using Many-Objective Search (Experience Paper)
Fitash Ul Haq
Donghwan Shin
Lionel C. Briand
Thomas Stifter
Jun Wang
AAML
21
19
0
11 Dec 2020
1