Jiawei Fu

Orcid: 0000-0003-3964-5992

Affiliations:
  • Xi'an Jiaotong University, Shaanxi, China


According to our database1, Jiawei Fu authored at least 11 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Complementing Onboard Sensors with Satellite Maps: A New Perspective for HD Map Construction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Efficient Safety-Enhanced Velocity Planning for Autonomous Driving With Chance Constraints.
IEEE Robotics Autom. Lett., June, 2023

Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction.
CoRR, 2023

Real-Time, Secure, and Computationally Efficient Navigation: A Prediction-Planning Framework Using Occupancy Grid Map.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Vehicle-Centered Global Path Generation for Autonomous Vehicle.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Interactive-Teb: Effective Trajectory Planning in Mixed Traffic Scenarios Considering Kinodynamic Constraints.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Multi-Stage Trajectory Planning System for Autonomous Vehicle in Mixture Scenarios.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

InteractionNet: Joint Planning and Prediction for Autonomous Driving with Transformers.
IROS, 2023

2022
Curvature Continuous Path Planning with Reverse Searching for Efficient and Precise Autonomous Parking.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Integrated Global Path Planning for Autonomous Mobile Robots in Complicated Environments.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Trajectory Planning with Comfort and Safety in Dynamic Traffic Scenarios for Autonomous Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021


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