Intelligence assessment of automated driving systems based on driving intelligence quotient
When design, test and validate an intelligent agent, assessing its intelligence is essential.
While autonomous vehicles (AVs) are deployed to a certain degree, it is still hard to assess …
While autonomous vehicles (AVs) are deployed to a certain degree, it is still hard to assess …
An integrated architecture for intelligence evaluation of automated vehicles
Increasing automation calls for evaluating the effectiveness and intelligence of automated
vehicles. This paper proposes a framework for quantitatively evaluating the intelligence of …
vehicles. This paper proposes a framework for quantitatively evaluating the intelligence of …
Evolving testing scenario generation method and intelligence evaluation framework for automated vehicles
Y Ma, W Jiang, L Zhang, J Chen, H Wang, C Lv… - arXiv preprint arXiv …, 2023 - arxiv.org
Interaction between the background vehicles (BVs) and automated vehicles (AVs) in
scenario-based testing plays a critical role in evaluating the intelligence of the AVs. Current …
scenario-based testing plays a critical role in evaluating the intelligence of the AVs. Current …
Machine learning method to ensure robust decision-making of AVs
Replacing the human driver to perform the Dynamic Driving Task (DDT)[1] will require
perception, complex analysis and assessment of traffic situation. The path leading to …
perception, complex analysis and assessment of traffic situation. The path leading to …
Overcoming challenges of validation automated driving and identification of critical scenarios
C Wang, H Winner - 2019 IEEE Intelligent Transportation …, 2019 - ieeexplore.ieee.org
Automated driving has arisen more and more attention both in traditional automobile
industries and in IT companies. Rapid development and significant results have been …
industries and in IT companies. Rapid development and significant results have been …
An empirical testing of autonomous vehicle simulator system for urban driving
J Seymour, QH Luu - 2021 IEEE international conference on …, 2021 - ieeexplore.ieee.org
Safety is one of the main challenges that prohibit autonomous vehicles (AV), requiring them
to be well tested ahead of being allowed on the road. In comparison with road tests …
to be well tested ahead of being allowed on the road. In comparison with road tests …
Automated scenario generation and evaluation strategy for automatic driving system
P Guo, F Gao - … conference on information science and control …, 2020 - ieeexplore.ieee.org
In this paper, we propose a new automated generation algorithm of test scenario for
automatic driving systems, which is called Combinatorial Testing Based on Complexity …
automatic driving systems, which is called Combinatorial Testing Based on Complexity …
Human-like lane-change decision making for automated driving with a game theoretic approach
With the consideration of personalized driving for automated vehicles (AVs), this paper
presents a human-like decision making framework for AVs. In the modelling process, the …
presents a human-like decision making framework for AVs. In the modelling process, the …
A reinforcement learning based decision-making system with aggressive driving behavior consideration for autonomous vehicles
With the fast development of autonomous vehicle (AV) technology and possible popularity of
AVs in the near future, a mixed-vehicle type driving environment where both AVs and their …
AVs in the near future, a mixed-vehicle type driving environment where both AVs and their …
Application of evolutionary algorithms and criticality metrics for the verification and validation of automated driving systems at urban intersections
This paper proposes an approach to identify relevant parameter combinations within Logical
Scenarios for the verification and validation (V&V) of automated driving systems (ADS). One …
Scenarios for the verification and validation (V&V) of automated driving systems (ADS). One …