Dequan Zeng

Orcid: 0000-0001-6456-9915

According to our database1, Dequan Zeng authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Study on Mathematical Models for Precise Estimation of Tire-Road Friction Coefficient of Distributed Drive Electric Vehicles Based on Sensorless Control of the Permanent Magnet Synchronous Motor.
Symmetry, July, 2024

2021
An Optimized Trajectory Planner and Motion Controller Framework for Autonomous Driving in Unstructured Environments.
Sensors, 2021

Surrounding Vehicle Trajectory Prediction and Dynamic Speed Planning for Autonomous Vehicle in Cut-in Scenarios.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Lateral Path Optimization for Autonomous Driving in Highly Constrained Environments.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
HFO-LADRC Lateral Motion Controller for Autonomous Road Sweeper.
Sensors, 2020

Design, Validation and Comparison of Path Following Controllers for Autonomous Vehicles.
Sensors, 2020

A Priority Data Association Policy for Multitarget Tracking on Intelligent Vehicle Risk Assessment.
Remote. Sens., 2020

VINS-PL-Vehicle: Points and Lines-based Monocular VINS Combined with Vehicle Kinematics for Indoor Garage.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019
$DBO$ Trajectory Planning and $HAHP$ Decision-Making for Autonomous Vehicle Driving on Urban Environment.
IEEE Access, 2019

A Novel Robust Lane Change Trajectory Planning Method for Autonomous Vehicle.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Predictable Trajectory Planner in Time-domain and Hierarchical Motion Controller for Intelligent Vehicles in Structured Road.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

A Motion Planning Method Addressing Arbitrary Lots for Autonomous Parking Vehicle.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019


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