Wenshuo Wang

McGill University

Canada

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Articles (11)

TriPField: A 3D Potential Field Model and Its Applications to Local Path Planning of Autonomous Vehicles

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Year:

2023

A Review of Driving Style Recognition Methods From Short-Term and Long-Term Perspectives

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Year:

2023

TriPField: A 3D Potential Field Model and Its Applications to Local Path Planning of Autonomous Vehicles

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Year:

2023

Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms

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Year:

2022

Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains

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Year:

2022

Uncovering Interpretable Internal States of Merging Tasks at Highway on-Ramps for Autonomous Driving Decision-Making

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Year:

2022

Leveraging Human Driving Preferences to Predict Vehicle Speed

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Year:

2022

On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic

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Year:

2022

Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios

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Year:

2022

Understanding V2V Driving Scenarios Through Traffic Primitives

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Year:

2022

Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories

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Year:

2020

Collaborators (1)

Chengyuan Zhang

McGill University

CANADA

Wenshuo Wang

Research Interests

Explore related searches

Contact this professor

Articles (11)

TriPField: A 3D Potential Field Model and Its Applications to Local Path Planning of Autonomous Vehicles

A Review of Driving Style Recognition Methods From Short-Term and Long-Term Perspectives

TriPField: A 3D Potential Field Model and Its Applications to Local Path Planning of Autonomous Vehicles

Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms

Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains

Uncovering Interpretable Internal States of Merging Tasks at Highway on-Ramps for Autonomous Driving Decision-Making

Leveraging Human Driving Preferences to Predict Vehicle Speed

On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic

Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios

Understanding V2V Driving Scenarios Through Traffic Primitives

Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories

Collaborators (1)

Chengyuan Zhang

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