Deep learning-based ethical judgments in connected vehicle technologies: Route planning algorithms, spatial data visualization tools, and real-time predictive …
G Duncan - Contemporary Readings in Law and Social Justice, 2022 - ceeol.com
The aim of this systematic review is to synthesize and analyze virtual simulation and
geospatial mapping tools, computer vision and path planning algorithms, and autonomous …
geospatial mapping tools, computer vision and path planning algorithms, and autonomous …
Ethical Artificial Intelligence in Smart Mobility Technologies: Autonomous Driving Algorithms, Geospatial Data Mining Tools, and Ambient Sound Recognition Software
RŞ Balica, AC Cuţitoi - Contemporary Readings in Law and Social …, 2022 - ceeol.com
In this article, we cumulate previous research findings indicating that smart transportation
networks deploy route planning and visual perception algorithms, predictive urban analytics …
networks deploy route planning and visual perception algorithms, predictive urban analytics …
Behavexplor: Behavior diversity guided testing for autonomous driving systems
Testing Autonomous Driving Systems (ADSs) is a critical task for ensuring the reliability and
safety of autonomous vehicles. Existing methods mainly focus on searching for safety …
safety of autonomous vehicles. Existing methods mainly focus on searching for safety …
Reflections on surrogate-assisted search-based testing: A taxonomy and two replication studies based on industrial ADAS and simulink models
Context: Surrogate-assisted search-based testing (SA-SBT) aims to reduce the
computational time for testing compute-intensive systems. Surrogates enhance testing …
computational time for testing compute-intensive systems. Surrogates enhance testing …
Doppelgänger test generation for revealing bugs in autonomous driving software
Vehicles controlled by autonomous driving software (ADS) are expected to bring many
social and economic benefits, but at the current stage not being broadly used due to …
social and economic benefits, but at the current stage not being broadly used due to …
Detecting multi-sensor fusion errors in advanced driver-assistance systems
Advanced Driver-Assistance Systems (ADAS) have been thriving and widely deployed in
recent years. In general, these systems receive sensor data, compute driving decisions, and …
recent years. In general, these systems receive sensor data, compute driving decisions, and …
scenoRITA: Generating Diverse, Fully-Mutable, Test Scenarios for Autonomous Vehicle Planning
Autonomous Vehicles (AVs) leverage advanced sensing and networking technologies (eg,
camera, LiDAR, RADAR, GPS, DSRC, 5G, etc.) to enable safe and efficient driving without …
camera, LiDAR, RADAR, GPS, DSRC, 5G, etc.) to enable safe and efficient driving without …
Falsifying motion plans of autonomous vehicles with abstractly specified traffic scenarios
M Klischat, M Althoff - IEEE Transactions on Intelligent Vehicles, 2022 - ieeexplore.ieee.org
Verifying the safety of autonomous vehicles is one of the major challenges towards their
deployment on public roads due to the vast number of possible situations that can occur in …
deployment on public roads due to the vast number of possible situations that can occur in …
Fuzzing digital twin with graphical visualization of electronic avs provable test for consumer safety
Y Hong, J Wu - IEEE Transactions on Consumer Electronics, 2023 - ieeexplore.ieee.org
In electronic autonomous vehicles (AVs), provable and explainable safety becomes the
critical protection for their consumers. While traditional safety test schemes can detect the …
critical protection for their consumers. While traditional safety test schemes can detect the …
Coverage-guided fuzz testing for cyber-physical systems
Fuzz testing is an indispensable test-generation tool in software security. Fuzz testing uses
automated directed randomness to explore a variety of execution paths in software, trying to …
automated directed randomness to explore a variety of execution paths in software, trying to …