Online competition of trajectory planning for automated parking: Benchmarks, achievements, learned lessons, and future perspectives
Automated parking is a typical function in a self-driving car. The trajectory planning module
directly reflects the intelligence level of an automated parking system. Although many …
directly reflects the intelligence level of an automated parking system. Although many …
Dynamic testing for autonomous vehicles using random quasi monte carlo
The substantial resource usage required to create ample scenarios for testing Autonomous
Vehicles (AV) presents a bottleneck in their implementation. At present, research relies on …
Vehicles (AV) presents a bottleneck in their implementation. At present, research relies on …
Discovering adversarial driving maneuvers against autonomous vehicles
Over 33% of vehicles sold in 2021 had integrated autonomous driving (AD) systems. While
many adversarial machine learning attacks have been studied against these systems, they …
many adversarial machine learning attacks have been studied against these systems, they …
CommonRoad-CriMe: A toolbox for criticality measures of autonomous vehicles
Criticality measures are essential for autonomous vehicles to capture the complexity of the
surrounding environment, trigger emergency maneuvers, and verify safety. However, there …
surrounding environment, trigger emergency maneuvers, and verify safety. However, there …
Synthesizing Traffic Scenarios from Formal Specifications Using Reachability Analysis
F Finkeldei, M Althoff - 2023 IEEE 26th International …, 2023 - ieeexplore.ieee.org
Scenario-based testing is a promising approach for the verification of automated vehicles
(AVs). In this paper, we present a novel approach that combines reachability analysis and …
(AVs). In this paper, we present a novel approach that combines reachability analysis and …
Priority Selection of Road Traffic Net-works in Emergency Situations Based on Internet of Vehicles
X Wang, H Geng - IEEE Access, 2024 - ieeexplore.ieee.org
The current emergency vehicle priority control methods in road traffic net-works are difficult
to cope with the increasing traffic demand. Therefore, a traffic control method based on multi …
to cope with the increasing traffic demand. Therefore, a traffic control method based on multi …
Slow down, move over: a case study in formal verification, refinement, and testing of the responsibility-sensitive safety model for self-driving cars
M Strauss, S Mitsch - International Conference on Tests and Proofs, 2023 - Springer
Technology advances give us the hope of driving without human error, reducing vehicle
emissions and simplifying an everyday task with the future of self-driving cars. Making sure …
emissions and simplifying an everyday task with the future of self-driving cars. Making sure …
[PDF][PDF] CommonRoad-CriMe
Criticality measures are essential for autonomous vehicles to capture the complexity of the
surrounding environment, trigger emergency maneuvers, and verify safety. However, there …
surrounding environment, trigger emergency maneuvers, and verify safety. However, there …