Runxin Niu
Orcid: 0000-0003-3289-0610
According to our database1,
Runxin Niu
authored at least 14 papers
between 2014 and 2024.
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Bibliography
2024
CMGFA: A BEV Segmentation Model Based on Cross-Modal Group-Mix Attention Feature Aggregator.
IEEE Robotics Autom. Lett., December, 2024
Double Neural Networks Enhanced Global Mobility Prediction Model for Unmanned Ground Vehicles in Off-Road Environments.
IEEE Trans. Veh. Technol., June, 2024
2023
Efficient and High-Fidelity Mobility Prediction for Unmanned Ground Vehicles Based on Gaussian Sampled Terrain and Enhanced Neural Network.
IEEE Robotics Autom. Lett., December, 2023
Joint Inversion Method of Gravity and Magnetic Analytic Signal Data With Adaptive Unstructured Tetrahedral Subdivision.
IEEE Trans. Geosci. Remote. Sens., 2023
IEEE Access, 2023
2022
FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks.
IEEE Trans. Intell. Transp. Syst., 2022
A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field.
IEEE Trans. Intell. Transp. Syst., 2022
High-Efficiency Gravity Data Inversion Method Based on Locally Adaptive Unstructured Meshing.
IEEE Trans. Geosci. Remote. Sens., 2022
Cross-Gradient Joint Inversion of Gravity and Seismic Data With Triangular Grid Division by the Second-Order Finite-Difference Method.
IEEE Trans. Geosci. Remote. Sens., 2022
Proceedings of the 7th Asia-Pacific Conference on Intelligent Robot Systems, 2022
2021
High-Resolution Cooperate Density-Integrated Inversion Method of Airborne Gravity and Its Gradient Data.
Remote. Sens., 2021
Proceedings of the 6th Asia-Pacific Conference on Intelligent Robot Systems, 2021
2020
FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks.
CoRR, 2020
2014
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014