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 …
In the near future, systems, that use Artificial Intelligence (AI) methods, such as machine learning, are required to be certified or audited for fairness if used in ethically sensitive fields …
Autonomous vehicle (AV) systems must be comprehensively tested and evaluated before they can be deployed. High-fidelity simulators such as CARLA or LGSVL allow this to be …
The ability to accurately predict others' behavior is central to the safety and efficiency of robotic systems in interactive settings, such as human–robot interaction and multi-robot …
Automated driving systems are in need of accurate localization, ie, achieving accuracies below 0.1 m at confidence levels above 95%. Although during the last decade numerous …
X Ye, X Wang - Accident Analysis & Prevention, 2022 - Elsevier
The safe operation of automated vehicles (AVs) is now on the research agenda, with attention to the AV's operational design domain (ODD), which defines the conditions in …
S Choi, D Lee, S Kim, S Tak - Transportation Research Part C: Emerging …, 2023 - Elsevier
Abstract Nowadays, Automated Vehicle (AV) technology is gaining attention as a candidate to improve the efficiency of Bus Rapid Transit (BRT) systems. However, there are still some …
There are several standards for representing and compressing video information. These standards are adapted to the vision of the human eye. Autonomous cars see and perceive …
In this paper, we extend the concept of the Operational Design Domain (ODD) to the context of railway remote driving in order to guide the safety demonstration process. Mainly, we …