Xuting Duan
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View article: Future Instance Prediction in Hybrid Spatial-Temporal Bird’s-Eye-View Representation for Vision-Centric Autonomous Driving
Future Instance Prediction in Hybrid Spatial-Temporal Bird’s-Eye-View Representation for Vision-Centric Autonomous Driving Open
Understanding surrounding dynamics and predicting the future states of instance-level targets are crucial for ensuring safe navigation in autonomous driving. The traditional modular paradigm, which cascades multiple discrete modules throug…
View article: Multi-Target Tracking and Trajectory Planning Framework for Autonomous Vehicles Based on Monocular Vision
Multi-Target Tracking and Trajectory Planning Framework for Autonomous Vehicles Based on Monocular Vision Open
In the pursuit of enhancing autonomous vehicle capabilities, efficient multi-object tracking and trajectory planning are critical components. This paper proposes an integrated framework for multi-target tracking and motion planning, levera…
View article: Testing and Application of Expressway Roadside Perception Method Based on Camera-Radar Fusion
Testing and Application of Expressway Roadside Perception Method Based on Camera-Radar Fusion Open
In order to test the performance and application effect of roadside perception method based on camera-radar fusion in the multi-source heterogeneous data environment of expressways, a camera-radar fusion perception algorithm is implemented…
View article: Adaptive Spectrum Anti-Jamming in UAV-Enabled Air-to-Ground Networks: A Bimatrix Stackelberg Game Approach
Adaptive Spectrum Anti-Jamming in UAV-Enabled Air-to-Ground Networks: A Bimatrix Stackelberg Game Approach Open
Anti-jamming communication technology is one of the most critical technologies for establishing secure and reliable communication between unmanned aerial vehicles (UAVs) and ground units. The current research on anti-jamming technology foc…
View article: Joint Optimization of Battery Swapping Scheduling for Electric Taxis
Joint Optimization of Battery Swapping Scheduling for Electric Taxis Open
Electric taxis are of great benefit to reduce urban polluting gas emissions. Currently, there is a problem of uneven utilization among charging stations in the battery swapping activities of electric taxis, resulting in long battery swappi…
View article: TransCrack: revisiting fine-grained road crack detection with a transformer design
TransCrack: revisiting fine-grained road crack detection with a transformer design Open
Prior convolution-based road crack detectors typically learn more abstract visual representation with increasing receptive field via an encoder–decoder architecture. Despite the promising accuracy, progressive spatial resolution reduction …
View article: Weighted Energy-Efficiency Maximization for a UAV-Assisted Multiplatoon Mobile-Edge Computing System
Weighted Energy-Efficiency Maximization for a UAV-Assisted Multiplatoon Mobile-Edge Computing System Open
With the rapid development of mobile computing, mobile-edge computing (MEC) has increasingly become an essential means to meet the computing power requirements of intelligent networked vehicles. However, users with high mobility and couple…
View article: A Vehicle Can Bus Anomaly Detection Method for Periodic Attacks Based on the Entropy Model
A Vehicle Can Bus Anomaly Detection Method for Periodic Attacks Based on the Entropy Model Open
Because of the rapid development of automobile intelligence and networking, cyber attackers can invade the vehicle network via wired and wireless interfaces, such as physical interfaces, short-range wireless interfaces, and long-range wire…
View article: Traffic Flow Sensing Using Wireless Signals
Traffic Flow Sensing Using Wireless Signals Open
As an essential part of the urban transportation system, precise perception of the traffic flow parameters at the traffic signal intersection ensures traffic safety and fully improves the intersection's capacity.Traditional detection metho…
View article: 3D Environmental Perception Modeling in the Simulated Autonomous-Driving Systems
3D Environmental Perception Modeling in the Simulated Autonomous-Driving Systems Open
Self-driving vehicles require a number of tests to prevent fatal accidents and ensure their appropriate operation in the physical world. However, conducting vehicle tests on the road is difficult because such tests are expensive and labor …
View article: Cooperative Channel Assignment for VANETs Based on Dual Reinforcement Learning
Cooperative Channel Assignment for VANETs Based on Dual Reinforcement Learning Open
Dynamic channel assignment (DCA) is significant for extending vehicular ad hoc network (VANET) capacity and mitigating congestion. However, the un-known global state information and the lack of centralized control make channel assignment p…
View article: Vehicle Fusion Positioning Model based on CSI
Vehicle Fusion Positioning Model based on CSI Open
High precision positioning in non-open area has always been a bottleneck in the development of V2X. In order to ensure the positioning performance of V2X in non-open area, this paper proposes a vehicle fusion localization method based on C…
View article: An Automatic Car Accident Detection Method Based on Cooperative Vehicle Infrastructure Systems
An Automatic Car Accident Detection Method Based on Cooperative Vehicle Infrastructure Systems Open
Car accidents cause a large number of deaths and disabilities every day, a certain proportion of which result from untimely treatment and secondary accidents. To some extent, automatic car accident detection can shorten response time of re…
View article: Adaptive Handover Decision Inspired by Biological Mechanism in Vehicle Ad-hoc Networks
Adaptive Handover Decision Inspired by Biological Mechanism in Vehicle Ad-hoc Networks Open
In vehicle ad-hoc networks (VANETs), the proliferation of wireless communication will give rise to the heterogeneous access environment where network selection becomes significant. Motivated by the self-adaptive paradigm of c... | Find, re…
View article: Applications of intelligent computing in vehicular networks
Applications of intelligent computing in vehicular networks Open
Purpose This paper aims to introduce vehicular network platform, routing and broadcasting methods and vehicular positioning enhancement technology, which are three aspects of the applications of intelligent computing in vehicular networks.…
View article: A novel data quality assessment framework for vehicular network testbeds
A novel data quality assessment framework for vehicular network testbeds Open
Big data technique is considered as a powerful tool to exploit all the potential of the Internet of Things and the smart cities. The development of internet of Vehicles (IoV) and wireless communication technologies have boosted diverse app…
View article: A DSRC-Based Vehicular Positioning Enhancement Using a Distributed Multiple-Model Kalman Filter
A DSRC-Based Vehicular Positioning Enhancement Using a Distributed Multiple-Model Kalman Filter Open
Some inherent shortcomings of the global positioning systems (GPSs), such as limited accuracy and availability, limit the positioning performance of a vehicular location system in urban harsh environments. This motivates the development of…