Vehículos inteligentes y Tecnología de Tráfico ; Intelligent vehicles and traffic technologies
INVETT
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Tsinghua University
Pekín, ChinaPublicaciones en colaboración con investigadores/as de Tsinghua University (8)
2021
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A novel multimode hybrid control method for cooperative driving of an automated vehicle platoon
IEEE Internet of Things Journal, Vol. 8, Núm. 7, pp. 5822-5838
2020
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A novel surface inset permanent magnet synchronous motor for electric vehicles
Symmetry, Vol. 12, Núm. 1
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An Improved LSTM Model for Behavior Recognition of Intelligent Vehicles
IEEE Access, Vol. 8, pp. 101514-101527
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Hybrid dynamic traffic model for freeway flow analysis using a switched reduced‐order unknown‐input state observer
Sensors (Switzerland), Vol. 20, Núm. 6
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Testing and Evaluating Driverless Vehicles' Intelligence: The Tsinghua Lion Case Study
IEEE Intelligent Transportation Systems Magazine, Vol. 12, Núm. 4, pp. 10-22
2019
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A new switched state jump observer for traffic density estimation in expressways based on hybrid-dynamic-traffic-network-model
Sensors (Switzerland), Vol. 19, Núm. 18
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A robust registration method for autonomous driving pose estimation in urban dynamic environment using LiDAR
Electronics (Switzerland), Vol. 8, Núm. 1
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Guest Editorial Introduction to the Special Issue on the 2018 IEEE Intelligent Vehicles Symposium (IV'18)
IEEE Transactions on Intelligent Vehicles