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Position Paper: Prototyping Autonomous Vehicles Applications with Heterogeneous Multi-FpgaSystems.

, , , , , , , and . UCET, page 1-2. IEEE, (2019)

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Application of a Bio-inspired Localization Model to Autonomous Vehicles., , , and . ICARCV, page 7-14. IEEE, (2018)Graph-based Map-Aided Localization using Cadastral Maps as Virtual Laser Scans., , and . ITSC, page 4074-4080. IEEE, (2019)LPMP: A Bio-Inspired Model for Visual Localization in Challenging Environments., , , , and . Frontiers Robotics AI, (2021)Predicting Intentions of Pedestrians from 2D Skeletal Pose Sequences with a Representation-Focused Multi-Branch Deep Learning Network., , , , and . Algorithms, 13 (12): 331 (2020)Urban Localization with Street Views using a Convolutional Neural Network for End-to-End Camera Pose Regression., , , and . IV, page 1199-1204. IEEE, (2019)Sparse and Topological Coding for Visual Localization of Autonomous Vehicles., , , , and . SAB, volume 13499 of Lecture Notes in Computer Science, page 153-164. Springer, (2022)Over Two Years of Challenging Environmental Conditions for Localization: The IPLT Dataset., , , and . ICINCO, page 383-387. SCITEPRESS, (2021)Position Paper: Prototyping Autonomous Vehicles Applications with Heterogeneous Multi-FpgaSystems., , , , , , , and . UCET, page 1-2. IEEE, (2019)Multi-Sensors System and Deep Learning Models for Object Tracking., , and . Sensors, 23 (18): 7804 (September 2023)Long-term localization with map compression based on solar information., , , and . ITSC, page 433-439. IEEE, (2023)