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Potential of intersection driver assistance systems to mitigate straight crossing path crashes using U.S. nationally representative crash data., , , and . Intelligent Vehicles Symposium, page 1207-1212. IEEE, (2015)Neuroevolution of an Automobile Crash Warning System, , , and . Genetic and Evolutionary Computation Conference, GECCO 2006, (2006)PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car., , , , , , , and . CoRR, (2021)InAction: Interpretable Action Decision Making for Autonomous Driving., , , , , , , and . ECCV (38), volume 13698 of Lecture Notes in Computer Science, page 370-387. Springer, (2022)Single-Variable Scenario Analysis of Vehicle-Pedestrian Potential Crash Based on Video Analysis Results of Large-Scale Naturalistic Driving Data., , , , , and . HCI (17), volume 9185 of Lecture Notes in Computer Science, page 295-304. Springer, (2015)A Novel Scoring Method for Pedestrian Automatic Emergency Braking Systems., , , , , , and . SOLI, page 128-133. IEEE, (2019)Pilot study on pedestrian step frequency in naturalistic driving environment., , , , , , , and . Intelligent Vehicles Symposium, page 1215-1220. IEEE, (2013)Surrogate Bicycle Design for Millimeter-Wave Automotive Radar Pre-Collision Testing., , , and . IEEE Trans. Intell. Transp. Syst., 18 (9): 2413-2422 (2017)Evolving a real-world vehicle warning system., , , , and . GECCO, page 1681-1688. ACM, (2006)A Wearable Data Collection System for Studying Micro-Level E-Scooter Behavior in Naturalistic Road Environment., , , , , , and . CoRR, (2022)