Chuanzhe Suo

Orcid: 0000-0001-5300-0993

According to our database1, Chuanzhe Suo authored at least 12 papers between 2018 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Deep Learning-Based Localization and Perception Systems: Approaches for Autonomous Cargo Transportation Vehicles in Large-Scale, Semiclosed Environments.
IEEE Robotics Autom. Mag., 2020

End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences.
CoRR, 2020

LPD-AE: Latent Space Representation of Large-Scale 3D Point Cloud.
IEEE Access, 2020

End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

A Synchronization Approach for Achieving Cooperative Adaptive Cruise Control Based Non-Stop Intersection Passing.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Loop-Closure Detection Based on 3D Point Cloud Learning for Self-Driving Industry Vehicles.
CoRR, 2019

A Multi-Sensor Fusion Based 2D-Driven 3D Object Detection Approach for Large Scene Applications <sup>∗</sup>.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Modelling and Dynamic Tracking Control of Industrial Vehicles with Tractor-trailer Structure.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

SeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Vision-Based Dynamic Control of Car-Like Mobile Robots.
Proceedings of the International Conference on Robotics and Automation, 2019

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
3D Point Cloud Learning for Large-scale Environment Analysis and Place Recognition.
CoRR, 2018


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