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1. 3D Lidar Point Cloud Segmentation for Automated Driving NSTL国家科技图书文献中心

Rashid Abbasi |  Ali Kashif Bashir... -  《IEEE Intelligent Transportation Systems Magazine》 - 2025,17(1) - 8~29 - 共22页

摘要:The use of 3D point clouds (3DPCs) in deep |  learning (DL) has recently gained popularity due to |  several applications in fields such as computer vision | , autonomous systems, and robotics. DL, as a dominant |  artificial intelligence approach, has been effectively
关键词: Three-dimensional displays |  Sensors |  Accuracy |  Semantic segmentation |  Laser radar |  Annotations |  Object recognition |  Point cloud compression |  Measurement |  Deep learning...

2. Deploying Scalable Traffic Prediction Models for Efficient Management in Real-World Large Transportation Networks During Hurricane Evacuations NSTL国家科技图书文献中心

Qinhua Jiang |  Brian Yueshuai He... -  《IEEE Intelligent Transportation Systems Magazine》 - 2025,17(1) - 69~91 - 共23页 - 被引量:1

摘要:Accurate traffic prediction is vital for |  effective traffic management during hurricane evacuation | . This article proposes a predictive modeling system |  that integrates multilayer perceptron and long short | -term memory models to capture both long-term
关键词: Hurricanes |  Data models |  Predictive models |  Adaptation models |  Analytical models |  Traffic control |  Transportation |  Training |  Road traffic |  Real-time systems

3. Optimizing Handoff Schemes in Communication-Based Train Control: Reinforcement Learning to Reduce the Age of Information NSTL国家科技图书文献中心

Guanlin Jing |  Yifei Zou... -  《IEEE Intelligent Transportation Systems Magazine》 - 2025,17(1) - 45~59 - 共15页

摘要:This article explores the critical challenges |  and limitations of modern communication-based train |  control (CBTC) systems, particularly focusing on the |  dynamic and uncertain nature of trainground |  communication. The concept of the Age of Information (AoI) is
关键词: Safety |  Control systems |  System performance |  Real-time systems |  Wireless networks |  Rail transportation |  Switches

4. Autonomous Airborne Transportation: Field Trials in Urban Water Landscapes NSTL国家科技图书文献中心

Rajveer S. Brar |  Walter Mérida -  《IEEE Intelligent Transportation Systems Magazine》 - 2025,17(1) - 60~68 - 共9页

摘要:Unmanned aerial vehicles (UAVs) operating on |  unlicensed spectra have short operational range. To perform |  complex beyond visual line-of-sight UAV operations | , licensed-spectrum cellular systems can be leveraged for |  intelligent transportation applications, including parcel
关键词: Autonomous aerial vehicles |  Interference |  Long Term Evolution |  Uplink |  Signal to noise ratio |  Handover |  Transportation |  Urban areas |  Line-of-sight propagation

5. PMScenes: A Parallel Mine Dataset for Autonomous Driving in Surface Mines NSTL国家科技图书文献中心

Yunfeng Ai |  Xinqing Li... -  《IEEE Intelligent Transportation Systems Magazine》 - 2025,17(1) - 30~44 - 共15页

摘要:Synthetic data, complementary with real-world |  datasets, have shown their effectiveness for autonomous |  driving in urban scenarios. However, for specific and |  complex environments, such as surface mines, which often |  involve extreme weather and corner cases, synthetic
关键词: Autonomous vehicles |  Meteorology |  Synthetic data |  Data mining |  Semantic segmentation |  Road traffic |  Artificial intelligence |  Three-dimensional displays |  Autonomous driving |  Urban areas...

6. Cognitive Traffic Accident Anticipation NSTL国家科技图书文献中心

Lei-Lei Li |  Jianwu Fang... -  《IEEE Intelligent Transportation Systems Magazine》 - 2024,16(5) - 17~32 - 共16页

摘要:Traffic accident anticipation (TAA) in driving |  videos aims to provide early warning of potential |  accidents and support decision making in safe driving |  systems. Previous works typically focused on the |  spatialtemporal correlation of object-centric contexts but
关键词: Accidents |  Semantics |  Visualization |  Convolutional neural networks |  Context modeling |  Computational modeling |  Traffic control |  Cognitive systems |  Vehicle driving

7. A Survey of Decision-Making Safety Assessment Methods for Autonomous Vehicles NSTL国家科技图书文献中心

Zhaowen Pang |  Zhenbin Chen... -  《IEEE Intelligent Transportation Systems Magazine》 - 2024,16(1) - 74~103 - 共30页 - 被引量:2

摘要:How to drive safely in complex real-world |  traffic settings has long been a question and challenge |  for autonomous vehicles (AVs). Decision-making |  systems (DecSs) are the core of AVs, and their safety |  and rationality are crucial. Several decision-making
关键词: Safety |  Decision making |  Indexes |  Standards |  Roads |  Measurement |  Behavioral sciences |  Autonomous vehicles |  Traffic control

8. Interaction of Autonomous and Manually Controlled Vehicles Multiscenario Vehicle Interaction Dataset NSTL国家科技图书文献中心

Novel Certad |  Enrico del Re... -  《IEEE Intelligent Transportation Systems Magazine》 - 2024,16(4) - 6~20 - 共15页

摘要:The acquisition and analysis of high-quality |  sensor data constitute an essential requirement in |  shaping the development of fully autonomous driving |  systems. This process is indispensable for enhancing |  road safety and ensuring the effectiveness of the
关键词: Laser radar |  Cameras |  Road traffic |  Trajectory |  Autonomous vehicles |  Data acquisition |  Recording |  Advanced driver assistance systems |  Interactive systems |  Automobiles

9. An Adaptive Route Guidance Model Considering the Effect of Traffic Signals Based on Deep Reinforcement Learning NSTL国家科技图书文献中心

Yunyang Shi |  Ziyuan Gu... -  《IEEE Intelligent Transportation Systems Magazine》 - 2024,16(3) - 21~34 - 共14页

摘要:Navigation or route guidance systems are |  designed to provide drivers with real-time travel |  information and the associated recommended routes for their |  trips. Classical route choice models typically rely on |  utility theory to represent drivers’ route choice
关键词: Adaptation models |  Routing |  Heuristic algorithms |  Adaptive systems |  Navigation |  Vehicle dynamics |  Behavioral sciences |  Real-time systems |  Deep reinforcement learning |  Traffic control

10. A Multimodal Trajectory Prediction Method for Pedestrian Crossing Considering Pedestrian Motion State NSTL国家科技图书文献中心

Zhuping Zhou |  Bowen Liu... -  《IEEE Intelligent Transportation Systems Magazine》 - 2024,16(3) - 82~95 - 共14页

摘要:Predicting pedestrian crossing trajectories |  has become a primary task in aiding autonomous |  vehicles to assess risks in pedestrian–vehicle |  interactions. As agile participants with changeable behavior | , pedestrians are often capable of choosing from multiple
关键词: Trajectory |  Pedestrians |  Predictive models |  Behavioral sciences |  Market research |  Feature extraction |  Road traffic |  Autonomous vehicles |  Motion capture
检索条件出处:IEEE Intelligent Transportation Systems Magazine

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