Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1912.00805
Cited By
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
Re-assign community
ArXiv
PDF
HTML
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
Ruben Grewal
Paolo Tonella
Andrea Stocco
48
12
0
29 Apr 2024
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
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
Andrea Stocco
Brian Pulfer
Paolo Tonella
27
68
0
21 Dec 2021
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
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
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
G. Giray
33
120
0
14 Dec 2020
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)
Fitash Ul Haq
Donghwan Shin
Lionel C. Briand
Thomas Stifter
Jun Wang
AAML
21
19
0
11 Dec 2020
1