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Peek into the Future Camera-based Occupant Sensing in Configurable Cabins for Autonomous Vehicles.

, , , , , and . ITSC, page 3321-3327. IEEE, (2021)

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Detection of E-scooter Riders in Naturalistic Scenes., , and . CoRR, (2021)Test Scenarios Development and Data Collection Methods for the Evaluation of Vehicle Road Departure Prevention Systems., , , , , , and . IEEE Trans. Intell. Veh., 4 (3): 337-352 (2019)A Computationally Effective Pedestrian Detection using Constrained Fusion with Body Parts for Autonomous Driving., , , , and . IRC, page 106-110. IEEE, (2021)A Universal 3D Gait Planning Based on Comprehensive Motion Constraints., , and . HCI (16), volume 10286 of Lecture Notes in Computer Science, page 214-228. Springer, (2017)Risk assessment and mitigation of e-scooter crashes with naturalistic driving data., , , , , and . CoRR, (2022)Attention-Based Interrelation Modeling for Explainable Automated Driving., , , , and . IEEE Trans. Intell. Veh., 8 (2): 1564-1573 (February 2023)Trust and Automation: A Systematic Review and Bibliometric Analysis., , and . HCI (40), volume 13094 of Lecture Notes in Computer Science, page 451-464. Springer, (2021)A Novel Adaptation of Information Extraction Algorithm to Process Natural Text Descriptions of Pedestrian Encounters., , , and . ITSC, page 1906-1912. IEEE, (2021)A Survey on Deep-Learning Methods for Pedestrian Behavior Prediction from the Egocentric View., and . ITSC, page 1898-1905. IEEE, (2021)SceNDD: A Scenario-based Naturalistic Driving Dataset., , , , , , and . ITSC, page 4363-4368. IEEE, (2022)