Survey on scenario-based safety assessment of automated vehicles
S Riedmaier, T Ponn, D Ludwig, B Schick… - IEEE …, 2020 - ieeexplore.ieee.org
When will automated vehicles come onto the market? This question has puzzled the
automotive industry and society for years. The technology and its implementation have …
automotive industry and society for years. The technology and its implementation have …
Finding critical scenarios for automated driving systems: A systematic mapping study
Scenario-based approaches have been receiving a huge amount of attention in research
and engineering of automated driving systems. Due to the complexity and uncertainty of the …
and engineering of automated driving systems. Due to the complexity and uncertainty of the …
Finding critical scenarios for automated driving systems: A systematic literature review
Scenario-based approaches have been receiving a huge amount of attention in research
and engineering of automated driving systems. Due to the complexity and uncertainty of the …
and engineering of automated driving systems. Due to the complexity and uncertainty of the …
A novel integrated simulation and testing platform for self-driving cars with hardware in the loop
Effective simulation and testing environment is a vital part in the research of self-driving
vehicles. It is capable of testing self-driving software and hardware quickly in a variety of …
vehicles. It is capable of testing self-driving software and hardware quickly in a variety of …
[HTML][HTML] Are current roads ready for highly automated driving? A conceptual model for road readiness for AVs applied to the UK city of Leeds
O Tengilimoglu, O Carsten, Z Wadud - … Research Part A: Policy and Practice, 2024 - Elsevier
Abstract The emergence of Automated Vehicles (AVs) promises a transformative impact on
future travel patterns and consequently on the design of urban spaces. Despite the …
future travel patterns and consequently on the design of urban spaces. Despite the …
How does traffic environment quantitatively affect the autonomous driving prediction?
Accurate trajectory prediction is essential for safe and efficient autonomous driving in
complex traffic environments. While artificial intelligence has shown great promise in …
complex traffic environments. While artificial intelligence has shown great promise in …
Dynamic driving environment complexity quantification method and its verification
To meet the requirements of scenario-based testing for Autonomous Vehicles (AVs), driving
scenario characterization has become a critical issue. Existing studies have concluded that …
scenario characterization has become a critical issue. Existing studies have concluded that …
Identification of challenging highway-scenarios for the safety validation of automated vehicles based on real driving data
T Ponn, M Breitfuß, X Yu… - … Conference on Ecological …, 2020 - ieeexplore.ieee.org
For a successful market launch of automated vehicles (AVs), proof of their safety is essential.
Due to the open parameter space, an infinite number of traffic situations can occur, which …
Due to the open parameter space, an infinite number of traffic situations can occur, which …
[HTML][HTML] Risk and Complexity Assessment of Autonomous Vehicle Testing Scenarios
Autonomous vehicles (AVs) must fulfill adequate safety requirements before formal
application, and performing an effective functional evaluation to verify vehicle safety requires …
application, and performing an effective functional evaluation to verify vehicle safety requires …
Online adaptive generation of critical boundary scenarios for evaluation of autonomous vehicles
Testing and evaluation are critical steps in the development and deployment of autonomous
vehicles (AVs). This paper aims to provide an online adaptive generation framework for …
vehicles (AVs). This paper aims to provide an online adaptive generation framework for …