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Optimal Vehicle Pose Estimation Network Based on Time Series and Spatial Tightness with 3D LiDARs.

, , , , , and . Remote. Sens., 13 (20): 4123 (2021)

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Optimal Vehicle Pose Estimation Network Based on Time Series and Spatial Tightness with 3D LiDARs., , , , , and . Remote. Sens., 13 (20): 4123 (2021)Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process., , , , , and . Remote. Sens., 13 (16): 3239 (2021)Laser Data Based Automatic Generation of Lane-Level Road Map for Intelligent Vehicles., , , , , and . CoRR, (2021)A Framework for Drivable Area Detection Via Point Cloud Double Projection on Rough Roads., , , and . J. Intell. Robotic Syst., 102 (2): 45 (2021)Lane Marking Detection Based on Segments with Upper and Lower Structure., , , , , , and . Int. J. Pattern Recognit. Artif. Intell., 34 (2): 2055005:1-2055005:18 (2020)A Real-Time Vehicle Detection Algorithm Based on Sparse Point Clouds and Dempster-Shafer Fusion Theory., , , , and . ICIA, page 597-602. IEEE, (2018)Multi-feature fusion based region of interest generation method for far-infrared pedestrian detection system., , and . Intelligent Vehicles Symposium, page 1257-1264. IEEE, (2018)A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field., , , , , , and . CoRR, (2020)A communication-free leader-follower formation method for UGVs via sensors fusion., , , , and . ICIA, page 378-384. IEEE, (2018)A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field., , , , , , and . IEEE Trans. Intell. Transp. Syst., 23 (7): 7841-7854 (2022)