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Efficient and Effective Generation of Test Cases for Pedestrian
  Detection -- Search-based Software Testing of Baidu Apollo in SVL
v1v2 (latest)

Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL

16 September 2021
Hamid Ebabi
M. H. Moghadam
Markus Borg
Gregory Gay
Afonso Fontes
Kasper Socha
ArXiv (abs)PDFHTML

Papers citing "Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL"

9 / 9 papers shown
Injecting Hallucinations in Autonomous Vehicles: A Component-Agnostic Safety Evaluation Framework
Injecting Hallucinations in Autonomous Vehicles: A Component-Agnostic Safety Evaluation Framework
Alexandre Moreira Nascimento
Gabriel Kenji Godoy Shimanuki
Lucio Flavio Vismari
João Batista Camargo Jr
Jorge Rady de Almeida Jr
Paulo Sergio Cugnasca
Anna Carolina Muller Queiroz
Jeremy Noah Bailenson
184
0
0
09 Oct 2025
CORTEX-AVD: A Framework for CORner Case Testing and EXploration in Autonomous Vehicle Development
CORTEX-AVD: A Framework for CORner Case Testing and EXploration in Autonomous Vehicle Development
Gabriel Kenji Godoy Shimanuki
Alexandre Moreira Nascimento
Lucio Flavio Vismari
Joao Batista Camargo Junior
Jorge Rady de Almeida Junior
Paulo Sergio Cugnasca
373
0
0
04 Apr 2025
Navigating the Edge with the State-of-the-Art Insights into Corner Case Identification and Generation for Enhanced Autonomous Vehicle Safety
Navigating the Edge with the State-of-the-Art Insights into Corner Case Identification and Generation for Enhanced Autonomous Vehicle Safety
Gabriel Kenji Godoy Shimanuki
Alexandre Moreira Nascimento
Lucio Flavio Vismari
Joao Batista Camargo Junior
Jorge Rady de Almeida Junior
Paulo Sergio Cugnasca
279
2
0
27 Feb 2025
In-Simulation Testing of Deep Learning Vision Models in Autonomous
  Robotic Manipulators
In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic ManipulatorsInternational Conference on Automated Software Engineering (ASE), 2024
D. Humeniuk
Houssem Ben Braiek
Thomas Reid
Foutse Khomh
301
2
0
25 Oct 2024
Can Search-Based Testing with Pareto Optimization Effectively Cover
  Failure-Revealing Test Inputs?
Can Search-Based Testing with Pareto Optimization Effectively Cover Failure-Revealing Test Inputs?Empirical Software Engineering (EMSE), 2024
Lev Sorokin
Damir Safin
Shiva Nejati
235
5
0
15 Oct 2024
Potential-based Credit Assignment for Cooperative RL-based Testing of
  Autonomous Vehicles
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous VehiclesIEEE International Joint Conference on Neural Network (IJCNN), 2023
Utku Ayvaz
Chih-Hong Cheng
Hao Shen
161
0
0
28 May 2023
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a
  Pedestrian Automatic Emergency Brake System
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake SystemSoftware quality journal (SQJ), 2022
Markus Borg
Jens Henriksson
Kasper Socha
Olof Lennartsson
Elias Sonnsjo Lonegren
T. Bui
Piotr Tomaszewski
S. Sathyamoorthy
Sebastian Brink
M. H. Moghadam
291
33
0
16 Apr 2022
Exploring ML testing in practice -- Lessons learned from an interactive
  rapid review with Axis Communications
Exploring ML testing in practice -- Lessons learned from an interactive rapid review with Axis Communications
Qunying Song
Markus Borg
Emelie Engström
H. Ardö
Sergio Rico
186
10
0
30 Mar 2022
Machine Learning Testing in an ADAS Case Study Using
  Simulation-Integrated Bio-Inspired Search-Based Testing
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing
M. H. Moghadam
Markus Borg
Mehrdad Saadatmand
Seyed Jalaleddin Mousavirad
M. Bohlin
B. Lisper
276
13
0
22 Mar 2022
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