Data generation for connected and automated vehicle tests using deep learning models
For the simulation-based test and evaluation of connected and automated vehicles (CAVs),
the trajectory of the background vehicle has a direct effect on the performance of CAVs and …
the trajectory of the background vehicle has a direct effect on the performance of CAVs and …
Vision transformer for detecting critical situations and extracting functional scenario for automated vehicle safety assessment
Automated Vehicles (AVs) are attracting attention as a safer mobility option thanks to the
recent advancement of various sensing technologies that realize a much quicker Perception …
recent advancement of various sensing technologies that realize a much quicker Perception …
A deep learning framework for generation and analysis of driving scenario trajectories
A Demetriou, H Alfsvåg, S Rahrovani… - SN Computer …, 2023 - Springer
We propose a unified deep learning framework for the generation and analysis of driving
scenario trajectories, and validate its effectiveness in a principled way. To model and …
scenario trajectories, and validate its effectiveness in a principled way. To model and …
Towards physically adversarial intelligent networks (PAINs) for safer self-driving
Neural networks in autonomous vehicles suffer from overfitting, poor generalizability, and
untrained edge cases due to limited data availability. Researchers often synthesize …
untrained edge cases due to limited data availability. Researchers often synthesize …
Fedvae: Trajectory privacy preserving based on federated variational autoencoder
The use of trajectory data with abundant spatial-temporal information is pivotal in Intelligent
Transport Systems (ITS) and various traffic system tasks. Location-Based Services (LBS) …
Transport Systems (ITS) and various traffic system tasks. Location-Based Services (LBS) …
Leveraging Generative AI for Smart City Digital Twins: A Survey on the Autonomous Generation of Data, Scenarios, 3D City Models, and Urban Designs
The digital transformation of modern cities by integrating advanced information,
communication, and computing technologies has marked the epoch of data-driven smart city …
communication, and computing technologies has marked the epoch of data-driven smart city …
Vehicle motion trajectories clustering via embedding transitive relations
F Hoseini, S Rahrovani… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
In order to assure safety in self-driving cars, the Autonomous Drive functionality needs to
pass safety tests not only based on real scenarios collected from field driving tests, but also …
pass safety tests not only based on real scenarios collected from field driving tests, but also …
Interactive Critical Scenario Generation for Autonomous Vehicles Testing Based on In-depth Crash Data Using Reinforcement Learning
Z Wei, H Huang, G Zhang, R Zhou… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Before implementing Autonomous Vehicles (AVs) in real-world settings, it is imperative to
conduct thorough safety testing. Virtual simulation testing, known for its high fidelity, cost …
conduct thorough safety testing. Virtual simulation testing, known for its high fidelity, cost …
Toward Large Scale Test for Autonomous Driving Software in Collaborative Virtual Environment
BG Kim, E Kang - Ieee Access, 2023 - ieeexplore.ieee.org
Virtual simulation environments are widely used to test autonomous driving software by
creating highly complex driving scenarios that are non-trivial to set up in a physical …
creating highly complex driving scenarios that are non-trivial to set up in a physical …
基于关键场景的预期功能安全双闭环测试验证方法
吴思宇， 于文浩， 邢星宇， 张玉新， 李楚照， 李雪轲… - 汽车 …, 2023 - qichegongcheng.com
预期功能安全作为道路运行安全的重要组成, 是智能网联汽车的核心挑战. 全面高效的预期功能
安全测试验证方法能够有效支撑系统安全开发流程. 本文提出一种以关键场景为载体 …
安全测试验证方法能够有效支撑系统安全开发流程. 本文提出一种以关键场景为载体 …