Lightweight traffic sign recognition model based on dynamic feature extraction
Accurate traffic sign data recognition is crucial for enhancing safety in autonomous driving
system. However, recognizing traffic signs from natural scenes is challenging due to factors …
system. However, recognizing traffic signs from natural scenes is challenging due to factors …
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 …
Dynamic traffic graph based risk assessment of multivehicle lane change interaction scenarios
Y Guo, Y Chen, X Gu, J Guo, S Zheng… - Physica A: Statistical …, 2024 - Elsevier
Vehicles' lane-changing behavior can potentially result in traffic conflicts and crash risks,
particularly in scenarios with interactions among multiple vehicles. To assess the crash risk …
particularly in scenarios with interactions among multiple vehicles. To assess the crash risk …
Passing‐yielding intention estimation during lane change conflict: A semantic‐based Bayesian inference method
M Cui, J Liu, H Zheng, Q Xu, J Wang… - IET Intelligent …, 2023 - Wiley Online Library
Intention estimation has been widely studied in lane change scenarios, which explains a
vehicle's behaviour and implies its future motion. However, in dense traffic, lane‐changing is …
vehicle's behaviour and implies its future motion. However, in dense traffic, lane‐changing is …
Deep reinforcement learning for intelligent energy management systems of hybrid-electric powertrains: Recent advances, open issues, and prospects
Y Li, H He, A Khajepour, Y Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The hybrid-electric powertrain presents an immediate solution to energy and environmental
challenges encountered within the realm of transportation. Targeting the optimization of …
challenges encountered within the realm of transportation. Targeting the optimization of …
Bringing diversity to autonomous vehicles: An interpretable multi-vehicle decision-making and planning framework
With the development of autonomous driving, it is becoming increasingly common for
autonomous vehicles (AVs) and human-driven vehicles (HVs) to travel on the same roads …
autonomous vehicles (AVs) and human-driven vehicles (HVs) to travel on the same roads …
Safe and adaptive decision algorithm of automated vehicle for unsignalized intersection driving
D Li, H Pan, G Liu - Journal of the Brazilian Society of Mechanical …, 2023 - Springer
Unsignalized intersection is one typical interactive driving scenarios that are challenging for
automated vehicles (AV). For safe, efficient and user-acceptable performances, the …
automated vehicles (AV). For safe, efficient and user-acceptable performances, the …
A Comprehensive Review on Deep Learning-Based Motion Planning and End-To-End Learning for Self-Driving Vehicle
M Ganesan, S Kandhasamy, B Chokkalingam… - IEEE …, 2024 - ieeexplore.ieee.org
Self-Driving Vehicles (SDVs) are increasingly popular, with companies like Google, Uber,
and Tesla investing significantly in self-driving technology. These vehicles could transform …
and Tesla investing significantly in self-driving technology. These vehicles could transform …
Modeling of Complex Traffic Interaction Under Uncontrolled Intersection Scenario
J Li, W Deng, Y Wang, J Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Complex traffic scenarios at uncontrolled intersections are crucial for the test validation of
autonomous driving systems. The core of the test scenario construction lies in the accurate …
autonomous driving systems. The core of the test scenario construction lies in the accurate …
Adaptive authority allocation for shared steering control considering social behaviours: a hybrid fuzzy approach with game-theoretical vehicle interaction model
In a typical traffic scenario, automated vehicles are required to interact with surrounding
traffic participants, eg human-driven vehicles, pedestrians, etc. In this paper, a novel …
traffic participants, eg human-driven vehicles, pedestrians, etc. In this paper, a novel …