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Handling pedestrians in self-driving cars using image tracking and alternative path generation with Frenét frames.

, , , , , , , , and . Comput. Graph., (2019)

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Comparative analysis of multiple YOLO-based target detectors and trackers for ADAS in edge devices., and . Robotics Auton. Syst., (January 2024)iFetch: Multimodal Conversational Agents for the Online Fashion Marketplace., , , , , , , , , and 1 other author(s). MuCAI @ ACM Multimedia, page 25-26. ACM, (2021)Towards Better Evidence Extraction Methods for Fact-Checking Systems., , , and . WI/IAT, page 277-284. ACM, (2021)Image-Based Real-Time Path Generation Using Deep Neural Networks., , , , , , , and . IJCNN, page 1-8. IEEE, (2020)A Large-Scale Mapping Method Based on Deep Neural Networks Applied to Self-Driving Car Localization., , , , , , , and . IJCNN, page 1-8. IEEE, (2020)YOLO-Based Object Detection and Tracking for Autonomous Vehicles Using Edge Devices., and . ROBOT (1), volume 589 of Lecture Notes in Networks and Systems, page 297-308. Springer, (2022)Simulating a Three-Lane Roundabout Using SUMO., , , and . INTSYS, volume 310 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 18-31. Springer, (2019)Self-Driving Cars: A Survey., , , , , , , , , and 2 other author(s). CoRR, (2019)Self-driving cars: A survey., , , , , , , , , and 3 other author(s). Expert Syst. Appl., (2021)Handling pedestrians in self-driving cars using image tracking and alternative path generation with Frenét frames., , , , , , , , and . Comput. Graph., (2019)