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Identifying and Tracking Pedestrians Based on Sensor Fusion and Motion Stability Predictions.

, , , , and . Sensors, 10 (9): 8028-8053 (2010)

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Enhanced obstacle detection based on Data Fusion for ADAS applications., , and . ITSC, page 1370-1375. IEEE, (2013)Environment perception based on LIDAR sensors for real road applications., , , , , , and . Robotica, 30 (2): 185-193 (2012)Deep Parts Similarity Learning for Person Re-Identification., , and . VISIGRAPP (5: VISAPP), page 419-428. SciTePress, (2018)Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection., , , , , and . CoRR, (2020)Hierarchical generator of tracking global hypotheses., , and . Expert Syst. Appl., (2022)Intelligent surveillance of indoor environments based on computer vision and 3D point cloud fusion., , , , and . Expert Syst. Appl., 42 (21): 8156-8171 (2015)Survey of computer vision algorithms and applications for unmanned aerial vehicles., , , , and . Expert Syst. Appl., (2018)Real-Time Warning System for Driver Drowsiness Detection Using Visual Information., , and . J. Intell. Robotic Syst., 59 (2): 103-125 (2010)Learning Probabilistic Awareness Models for Detecting Abnormalities in Vehicle Motions., , , , , , and . IEEE Trans. Intell. Transp. Syst., 21 (3): 1308-1320 (2020)PointNet Evaluation for On-Road Object Detection Using a Multi-resolution Conditioning., , and . CIARP, volume 11401 of Lecture Notes in Computer Science, page 513-520. Springer, (2018)