Moving vehicle detection in dynamical scene using vector quantization. - Lei Gao; Wei Liu; Runxin Niu; Yanbiao Sun; Yu Xin; Huawei Liang (Intelligent Vehicles Symposium, 2014)

FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks. - Ruochen Yin; Biao Yu; Huapeng Wu; Yuntao Song; Runxin Niu (CoRR, 2020)

Navigation Line Extraction Method for Ramie Combine Harvester Based on U-Net. - Zhengwei Chen; Runxin Niu; Jie Wang; Hui Zhu 010; Biao Yu (ACIRS, 2021)

High-Resolution Cooperate Density-Integrated Inversion Method of Airborne Gravity and Its Gradient Data. - Guoqing Ma 001; Tong Gao; Lili Li; Taihan Wang; Runxin Niu; Xinwei Li (Remote. Sens., 2021)

Path Tracking Control Algorithm Considering Delay Compensation. - Yujie Zhang; Runxin Niu; Jie Wang; Huawei Liang; Zhengwei Chen; Zidong Huang (ACIRS, 2022)

Cross-Gradient Joint Inversion of Gravity and Seismic Data With Triangular Grid Division by the Second-Order Finite-Difference Method. - Guoqing Ma 001; Tong Gao; Runxin Niu; Lili Li; Taihan Wang; Da Li (IEEE Trans. Geosci. Remote. Sens., 2022)

High-Efficiency Gravity Data Inversion Method Based on Locally Adaptive Unstructured Meshing. - Guoqing Ma 001; Runxin Niu; Tong Gao; Lili Li; Taihan Wang; Qingfa Meng (IEEE Trans. Geosci. Remote. Sens., 2022)

A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field. - Weixin Huang; Huawei Liang; Linglong Lin; Zhiling Wang; Shaobo Wang; Biao Yu; Runxin Niu (IEEE Trans. Intell. Transp. Syst., 2022)

FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks. - Ruochen Yin; Yong Cheng; Huapeng Wu; Yuntao Song; Biao Yu; Runxin Niu (IEEE Trans. Intell. Transp. Syst., 2022)

Autonomous Parking Path Tracking Control Based on Interference Suppression. - Maofei Zhu; Qian Liu; Jianwen Zhou; Wei Sha; Runxin Niu (IEEE Access, 2023)

Joint Inversion Method of Gravity and Magnetic Analytic Signal Data With Adaptive Unstructured Tetrahedral Subdivision. - Runxin Niu; Guoqing Ma 001; Taihan Wang; Lili Li; Tong Gao (IEEE Trans. Geosci. Remote. Sens., 2023)

Efficient and High-Fidelity Mobility Prediction for Unmanned Ground Vehicles Based on Gaussian Sampled Terrain and Enhanced Neural Network. - Chen Hua; Runxin Niu; Chunmao Jiang; Biao Yu; Hui Zhu 010; Bichun Li (IEEE Robotics Autom. Lett., 2023)

Double Neural Networks Enhanced Global Mobility Prediction Model for Unmanned Ground Vehicles in Off-Road Environments. - Chen Hua; Chunmao Jiang; Runxin Niu; Xuhui Fu; Ziyu Chen; Xinkai Kuang; Biao Yu (IEEE Trans. Veh. Technol., 2024)

CMGFA: A BEV Segmentation Model Based on Cross-Modal Group-Mix Attention Feature Aggregator. - Xinkai Kuang; Runxin Niu; Chen Hua; Chunmao Jiang; Hui Zhu 010; Ziyu Chen; Biao Yu (IEEE Robotics Autom. Lett., 2024)

Research on multi-layer model attitude recognition and picking strategy of small tomato picking robot. - Guangyu Hou; Haihua Chen; Runxin Niu; Tongbin Li; Yike Ma; Yucheng Zhang (Comput. Electron. Agric., 2025)

A visual recognition method for the growth posture of small tomatoes under a complex greenhouse background. - Guangyu Hou; Runxin Niu; Haihua Chen (Comput. Electron. Agric., 2025)

A Robotic AI Algorithm for Fusing Generative Large Models in Agriculture Internet of Things. - Guangyu Hou; Runxin Niu; Haihua Chen; Yancong Wang; Zhenqiang Zhu; Jingyao Zhang; Yike Ma; Tongbin Li (IEEE Internet Things J., 2025)

DSAM: Dual-Strategy Simulation Acceleration-Based Model for Uncrewed Ground Vehicle Mobility Prediction. - Chen Hua; Yuliang Wei; Chunmao Jiang; Runxin Niu (IEEE Trans. Veh. Technol., 2025)