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Enabling Robot Selective Trained Deep Neural Networks for Object Detection Through Intelligent Infrastructure.

, , , , , , and . CACRE, page 13:1-13:6. ACM, (2019)

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Extracting path graphs from vehicle trajectories., , , and . Intelligent Vehicles Symposium, page 1260-1264. IEEE, (2016)Following Cars With Elastic Bands., , , , and . Intelligent Vehicles Symposium, page 1529-1536. IEEE, (2018)Flexible unit A-star trajectory planning for autonomous vehicles on structured road maps., , , , and . ICVES, page 7-12. IEEE, (2017)Pole-based localization for autonomous vehicles in urban scenarios., , and . IROS, page 2161-2166. IEEE, (2016)Application of open Source Deep Neural Networks for Object Detection in Industrial Environments., , , , , , and . ICMLA, page 231-236. IEEE, (2018)Learning to Detect Visual Grasp Affordance., , , and . IEEE Trans Autom. Sci. Eng., 13 (2): 798-809 (2016)GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation., , and . IEEE Robotics Autom. Lett., 9 (1): 420-426 (January 2024)An Empirical Bayes Analysis of Vehicle Trajectory Models., , and . CoRR, (2022)Robust Framework for intelligent Gripping Point Detection., , , , , , and . IECON, page 717-723. IEEE, (2019)Perceptionbased Intelligent Materialhandling in Industrial Logistics Environments., , , , , and . ICCAE, page 146-151. ACM, (2019)