Jintao Xu
Orcid: 0009-0001-9365-9562Affiliations:
- Haomo Technology Company, Ltd., Beijing, China
According to our database1,
Jintao Xu
authored at least 17 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Intell. Transp. Syst., November, 2024
S<sup>4</sup>TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles.
IEEE Trans. Intell. Veh., February, 2024
ACF-Net: Asymmetric Cascade Fusion for 3D Detection With LiDAR Point Clouds and Images.
IEEE Trans. Intell. Veh., February, 2024
BEVPlace++: Fast, Robust, and Lightweight LiDAR Global Localization for Unmanned Ground Vehicles.
CoRR, 2024
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles.
CoRR, 2024
CoRR, 2024
Distilling Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection.
CoRR, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Safety-Balanced Driving-Style Aware Trajectory Planning in Intersection Scenarios With Uncertain Environment.
IEEE Trans. Intell. Veh., April, 2023
I2P-Rec: Recognizing Images on Large-Scale Point Cloud Maps Through Bird's Eye View Projections.
IROS, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition.
IEEE Robotics Autom. Lett., 2022
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation and Prediction.
CoRR, 2022
OverlapTransformer: An Efficient and Rotation-Invariant Transformer Network for LiDAR-Based Place Recognition.
CoRR, 2022
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022