When does Sora show: The beginning of TAO to imaginative intelligence and scenarios engineering
During our discussion at workshops for writing “What Does ChatGPT Say: The DAO from
Algorithmic Intelligence to Linguistic Intelligence”[1], we had expected the next milestone for …
Algorithmic Intelligence to Linguistic Intelligence”[1], we had expected the next milestone for …
Sora for senarios engineering of intelligent vehicles: V&V, C&C, and beyonds
The advent of Scenarios Engineering (SE) paves the way to a new era of intelligent vehicles
(IVs), driven by Artificial Intelligence (AI)-enabled strategies. It aims at shaping the IVs to be …
(IVs), driven by Artificial Intelligence (AI)-enabled strategies. It aims at shaping the IVs to be …
Synthetic datasets for autonomous driving: A survey
Z Song, Z He, X Li, Q Ma, R Ming, Z Mao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Autonomous driving techniques have been flourishing in recent years while thirsting for
huge amounts of high-quality data. However, it is difficult for real-world datasets to keep up …
huge amounts of high-quality data. However, it is difficult for real-world datasets to keep up …
Development and testing of advanced driver assistance systems through scenario-based system engineering
Advanced driver assistance systems (ADAS) hold great promise for improving transportation
safety and efficiency. However, the development of these technologies requires a robust and …
safety and efficiency. However, the development of these technologies requires a robust and …
Identifying critical test scenarios for lane keeping assistance system using analytic hierarchy process and hierarchical clustering
R Song, X Li, X Zhao, M Liu, J Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Lane keeping assistance system (LKAS) is critical components of autonomous driving
technologies, and their reliable operation is crucial to ensure passenger safety and maintain …
technologies, and their reliable operation is crucial to ensure passenger safety and maintain …
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 …
Intelligent metaverse scene content construction
J Wang, S Chen, Y Liu, R Lau - IEEE Access, 2023 - ieeexplore.ieee.org
The integration of artificial intelligence (AI) and virtual reality (VR) has revolutionized
research across various scientific fields, with AI-driven VR simulations finding applications in …
research across various scientific fields, with AI-driven VR simulations finding applications in …
Adversarial safety-critical scenario generation using naturalistic human driving priors
K Hao, W Cui, Y Luo, L Xie, Y Bai… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Evaluating the decision-making system is indispensable in developing autonomous
vehicles, while realistic and challenging safety-critical test scenarios play a crucial role …
vehicles, while realistic and challenging safety-critical test scenarios play a crucial role …
Parallel learning for legal intelligence: A hanoi approach based on unified prompting
Z Song, M Huang, Q Miao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Pretrained language models (PLMs) have made significant progress on various NLP tasks
recently. However, PLMs encounter challenges when it comes to domain-specific tasks such …
recently. However, PLMs encounter challenges when it comes to domain-specific tasks such …
Implicit scene context-aware interactive trajectory prediction for autonomous driving
The accurate prediction of behaviors of surrounding traffic participants is critical for
autonomous vehicles (AV). How to fully encode both explicit (eg, map structure and road …
autonomous vehicles (AV). How to fully encode both explicit (eg, map structure and road …