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Developing a Toolchain for Synthetic Driving Scenario Datasets.

, , , , , и . ApplePies, том 1036 из Lecture Notes in Electrical Engineering, стр. 222-228. Springer, (2022)

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A Teacher-Configurable Scoring System for Serious Games., , , , , , и . GALA, том 14475 из Lecture Notes in Computer Science, стр. 254-263. Springer, (2023)Classifying Simulated Driving Scenarios from Automated Cars., , , , , , и . ApplePies, том 866 из Lecture Notes in Electrical Engineering, стр. 229-235. Springer, (2021)Adapting Autonomous Agents for Automotive Driving Games., , , , , , , , и . GALA, том 13134 из Lecture Notes in Computer Science, стр. 101-110. Springer, (2021)Developing a Toolchain for Synthetic Driving Scenario Datasets., , , , , и . ApplePies, том 1036 из Lecture Notes in Electrical Engineering, стр. 222-228. Springer, (2022)High-Level Decision-Making Non-player Vehicles., , , , , , , и . GALA, стр. 223-233. Springer International Publishing, (2022)Deep Reinforcement Learning for Automated Car Parking., , , , , и . ApplePies, том 1036 из Lecture Notes in Electrical Engineering, стр. 125-130. Springer, (2022)Supporting a .csv-based Workflow in MongoDB for Data Analysts., , , , , и . ISIE, стр. 1-4. IEEE, (2023)YoloP-Based Pre-processing for Driving Scenario Detection., , , , , , и . ApplePies, том 1110 из Lecture Notes in Electrical Engineering, стр. 418-423. Springer, (2023)A Synthetic Dataset Generator for Automotive Overtaking Maneuver Detection., , , , , , и . ApplePies, том 1110 из Lecture Notes in Electrical Engineering, стр. 364-369. Springer, (2023)Automated Parking in CARLA: A Deep Reinforcement Learning-Based Approach., , , , , и . ApplePies, том 1110 из Lecture Notes in Electrical Engineering, стр. 352-357. Springer, (2023)