Verification and validation methods for decision-making and planning of automated vehicles: A review
Verification and validation (V&V) hold a significant position in the research and development
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …
Planning and decision-making for connected autonomous vehicles at road intersections: A review
Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …
problem in intelligent transportation systems due to the uncertainties caused by a variety of …
Drivellm: Charting the path toward full autonomous driving with large language models
Human drivers instinctively reason with commonsense knowledge to predict hazards in
unfamiliar scenarios and to understand the intentions of other road users. However, this …
unfamiliar scenarios and to understand the intentions of other road users. However, this …
[HTML][HTML] Framework for connected and automated bus rapid transit with sectionalized speed guidance based on deep reinforcement learning: Field test in Sejong city
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 …
to improve the efficiency of Bus Rapid Transit (BRT) systems. However, there are still some …
Authorized traffic controller hand gesture recognition for situation-aware autonomous driving
An authorized traffic controller (ATC) has the highest priority for direct road traffic. In some
irregular situations, the ATC supersedes other traffic control. Human drivers indigenously …
irregular situations, the ATC supersedes other traffic control. Human drivers indigenously …
Toward ensuring safety for autonomous driving perception: standardization progress, research advances, and perspectives
Perception systems play a crucial role in autonomous driving by reading the sensory data
and providing meaningful interpretation of the operating environment for decision-making …
and providing meaningful interpretation of the operating environment for decision-making …
Pedestrian trajectory prediction via spatial interaction transformer network
T Su, Y Meng, Y Xu - 2021 IEEE Intelligent Vehicles …, 2021 - ieeexplore.ieee.org
As a core technology of the autonomous driving system, pedestrian trajectory prediction can
significantly enhance the function of active vehicle safety and reduce road traffic injuries. In …
significantly enhance the function of active vehicle safety and reduce road traffic injuries. In …
Medium-fidelity evaluation and modeling for perception systems of intelligent and connected vehicles
This article proposes a framework for evaluating and modeling perception systems,
motivated by the need to develop testing scenarios for verification and validation of …
motivated by the need to develop testing scenarios for verification and validation of …
Tabular learning-based traffic event prediction for intelligent social transportation system
Accurate forecasting of future traffic is a critical contemporary problem for transportation
research. However, it is difficult to understand the feature patterns of traffic events due to the …
research. However, it is difficult to understand the feature patterns of traffic events due to the …
Dynamically conservative self-driving planner for long-tail cases
W Zhou, Z Cao, N Deng, X Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Self-driving vehicles (SDVs) are becoming reality but still suffer from “long-tail” challenges
during natural driving: the SDVs will continually encounter rare, safety-critical cases that may …
during natural driving: the SDVs will continually encounter rare, safety-critical cases that may …