Distributed Learning in Intelligent Transportation Systems: A Survey DOI Creative Commons
Qiong Li, Wanlei Zhou, Xi Zheng

et al.

Information, Journal Year: 2024, Volume and Issue: 15(9), P. 550 - 550

Published: Sept. 8, 2024

The development of artificial intelligence (AI) and self-driving technology is expected to enhance intelligent transportation systems (ITSs) by improving road safety mobility, increasing traffic flow, reducing vehicle emissions in the near future. In an ITS, each autonomous acts as a node with its own local machine learning models, which can be updated using locally collected data. However, for vehicles learn effective they must able from data sources provided other infrastructure, utilizing innovative methods adapt various driving scenarios. Distributed plays crucial role implementing these tasks ITS. This review provides systematic overview distributed field ITSs. Within engage interacting peers through opportunistic encounters clustering. study examines challenges associated learning, focusing on issues related privacy security sharing, communication quality speed, trust. Through thorough analysis challenges, this presents potential research avenues address issues, including utilization incentive mechanisms that rely reputation, adoption rapid convergence techniques, integration federated blockchain technology.

Language: Английский

A Systematic Survey of Control Techniques and Applications in Connected and Automated Vehicles DOI Creative Commons
Wei Liu, Min Hua, Zhiyun Deng

et al.

IEEE Internet of Things Journal, Journal Year: 2023, Volume and Issue: 10(24), P. 21892 - 21916

Published: Aug. 21, 2023

Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and connected automated (CAVs), it paramount vehicle safety, passenger comfort, transportation efficiency, energy saving. This survey attempts to provide a comprehensive thorough overview current state technology, focusing on evolution from estimation trajectory tracking AVs at microscopic level collaborative CAVs macroscopic level. First, this review starts with key estimation, specifically sideslip angle, which pivotal for control, discuss representative approaches. Then, we present symbolic approaches AVs. On top that, further frameworks corresponding applications. Finally, concludes discussion future research directions challenges. aims contextualized in-depth look art CAVs, identifying areas focus pointing out potential exploration.

Language: Английский

Citations

61
FusionPlanner: A multi-task motion planner for mining trucks via multi-sensor fusion DOI
Siyu Teng, Luxi Li, Yuchen Li

et al.

Mechanical Systems and Signal Processing, Journal Year: 2024, Volume and Issue: 208, P. 111051 - 111051

Published: Jan. 3, 2024

Language: Английский

Citations

23
Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0 DOI Open Access
Xu Han, Zonglin Meng, Xin Xia

et al.

IEEE Transactions on Intelligent Vehicles, Journal Year: 2024, Volume and Issue: 9(1), P. 39 - 47

Published: Jan. 1, 2024

This perspective paper delves into the concept of foundation intelligence that shapes future smart infrastructure services as transportation sector transitions era Transportation 5.0. First, discussion focuses on a suite emerging technologies essential for intelligence. These encompass digital twinning, parallel intelligence, large vision-language models, traffic simulation and systems modeling, vehicle-to-everything (V2X) connectivity, decentralized/distributed systems. Next, introduces present landscape 5.0 applications illuminated by foundational casts vision towards including cooperative driving automation, intersection/infrastructure, management, virtual drivers, mobility planning operations, laying out prospects are poised to redefine ecosystem. Last, through comprehensive outlook, this aspires offer guiding framework intelligent evolution in data generation model calibration, twinning simulation, scenario development experimentation, feedback loop management control, continuous learning adaptation, fostering safety, efficiency, reliability, sustainability infrastructure.

Language: Английский

Citations

18
Coordinated control of path tracking and yaw stability for distributed drive electric vehicle based on AMPC and DYC DOI
Dongmei Wu, Yuying Guan, Xin Xia

et al.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 26, 2024

Maintaining both path-tracking accuracy and yaw stability of distributed drive electric vehicles (DDEVs) under various driving conditions presents a significant challenge in the field vehicle control. To address this limitation, coordinated control strategy that integrates adaptive model predictive (AMPC) direct moment (DYC) is proposed for DDEVs. The strategy, inspired by hierarchical framework, upper layer lower Based on linear time-varying (LTV MPC) algorithm, effects prediction horizon weight coefficients are compared analyzed first. According to aforementioned analysis, an AMPC controller with variable designed considering change speed layer. involves DYC based quadratic regulator (LQR) technique. Specifically, intervention rule determined threshold rate error phase diagram sideslip angle. Extensive simulation experiments conducted evaluate different conditions. results show that, low adhesion conditions, have been improved 21.58% 14.43%, respectively, AMPC. Similarly, high 44.30% 14.25%, coordination LTV MPC DYC. indicate effective across speeds. Furthermore, successfully enhances while maintaining good even extreme

Language: Английский

Citations

7
Risk-aware lane-change trajectory planning with rollover prevention for autonomous light trucks on curved roads DOI
Hefeng Zhan, Gang Wang, Xin Shan

et al.

Mechanical Systems and Signal Processing, Journal Year: 2024, Volume and Issue: 211, P. 111126 - 111126

Published: Feb. 6, 2024

Language: Английский

Citations

7
A Novel Positioning Method for UAV in GNSS-Denied Environments Based on Mechanical Antenna DOI
Yong Cui, Chen Wang, Qinglei Hu

et al.

IEEE Transactions on Industrial Electronics, Journal Year: 2024, Volume and Issue: 71(10), P. 13461 - 13469

Published: Feb. 1, 2024

As the application of unmanned aerial vehicle (UAV) become increasingly widespread in various industries, its positioning Global Navigation Satellite System (GNSS) denied environments plays an indispensable role certain scenarios such as dense woods and enclosed underground environment. However, there are several existing defects conventional method for UAV GNSS-denied environments, error accumulation poor long-term accuracy Inertial Systems requirement sufficient light high computing power vision-based localization. Therefore, a novel based on mechanical antenna (MA) is proposed this work, which consists MA installed to generated low-frequency (LF) magnetic signal, three-dimensional field sensor ground base station receive corresponding algorithm particle swarm optimization. EM signals LF bands applied positioning, therefore, has propagation stability anti-interference due characteristics bands. Furthermore, because technology can greatly reduce size consumption transmitting system, signal used be by portable UAV. Theoretical analysis experiments carried out detail. According results, work great feasibility with mean < 0.45 m measurement, will provide alternative instrumentation variety industrial complex electromagnetic future.

Language: Английский

Citations

6
GNSS/IMU/LiDAR fusion for vehicle localization in urban driving environments within a consensus framework DOI
Letian Gao, Xin Xia, Zhaoliang Zheng

et al.

Mechanical Systems and Signal Processing, Journal Year: 2023, Volume and Issue: 205, P. 110862 - 110862

Published: Oct. 25, 2023

Language: Английский

Citations

16
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems DOI Creative Commons
Rui Song, Runsheng Xu, Andreas Festag

et al.

IEEE Transactions on Intelligent Vehicles, Journal Year: 2023, Volume and Issue: 9(1), P. 958 - 969

Published: Aug. 31, 2023

Bird's eye view (BEV) perception is becoming increasingly important in the field of autonomous driving. It uses multi-view camera data to learn a transformer model that directly projects road environment onto BEV perspective. However, training often requires large amount data, and as for traffic are private, they typically not shared. Federated learning offers solution enables clients collaborate train models without exchanging but parameters. In this paper, we introduce FedBEVT, federated approach perception. order address two common heterogeneity issues FedBEVT: (i) diverse sensor poses, (ii) varying numbers systems, propose approaches - Learning with Camera-Attentive Personalization (FedCaP) Adaptive Multi-Camera Masking (AMCM), respectively. To evaluate our method real-world settings, create dataset consisting four typical use cases. Our findings suggest FedBEVT outperforms baseline all cases, demonstrating potential improving

Language: Английский

Citations

14
Secure Cooperative Localization for Connected Automated Vehicles Based on Consensus DOI Creative Commons
Xin Xia, Runsheng Xu, Jiaqi Ma

et al.

IEEE Sensors Journal, Journal Year: 2023, Volume and Issue: 23(20), P. 25061 - 25074

Published: Sept. 11, 2023

In this paper, we present secure cooperative localization for connected automated vehicles (CAVs) based on consensus estimation through leveraging shared but possibly attacked sensory information from multiple adjacent vehicles. First, the communication topology between CAVs, node kinematic model, and measurement model each vehicle are introduced. Then, a Kalman filter (CKIF) is applied to fuse Since might be attacked, an attack detection algorithm general likelihood ratio test (GLRT) adopted. A delay-prediction framework proposed maintain accuracy real-time performance of algorithm. Next, rule-based isolation method used defend attack. Finally, validated in extensive numerical simulation experiments. The results confirm that manner leads better resilience under attacks.

Language: Английский

Citations

11
Lateral stability and constraint boundary of a vehicle with active rear steering DOI
Heng Wei, Yuefeng Huang, Yicai Liu

et al.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Active rear steering (ARS) can improve the handling stability and maneuverability of intelligent vehicles, but constraint boundary angle wheel is mostly set by using empirical values. Therefore, a nonlinear single-track model vehicles with ARS established. With help linearization tire mechanics at point operation, curve used to discuss equilibrium points different axle characteristics, dynamic studied bifurcation theory. On this basis, global vehicle under operating conditions explored, condition proposed. Moreover, taking in-phase anti-phase control methods for as examples, effectiveness characteristics verified means phase portraits. The analytical analysis numerical verifications both show that proposed in paper provide technical supports closed-loop wheel, thereby improving driving safety vehicles.

Language: Английский

Citations

0