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Exploring the problem of GPU programming for data-intensive applications: a case study of multiple expectation maximization for motif elicitation.

, , , and . SoICT, page 256-262. ACM, (2014)

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Autoware on board: enabling autonomous vehicles with embedded systems., , , , , , , , , and . ICCPS, page 287-296. IEEE Computer Society / ACM, (2018)LIBRE: The Multiple 3D LiDAR Dataset., , , , , , , , and . CoRR, (2020)Exploring the problem of GPU programming for data-intensive applications: a case study of multiple expectation maximization for motif elicitation., , , and . SoICT, page 256-262. ACM, (2014)LIBRE: The Multiple 3D LiDAR Dataset., , , , , , , , and . IV, page 1094-1101. IEEE, (2020)Evaluation Technique of 3D Point Clouds for Autonomous Vehicles Using the Convergence of Matching Between the Points., , , , and . SII, page 722-725. IEEE, (2020)Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm., , , , , , , , and . IV Workshops, page 327-334. IEEE, (2021)Characterization of Multiple 3D LiDARs for Localization and Mapping using Normal Distributions Transform., , , , , , , , and . CoRR, (2020)Eagleye: A Lane-Level Localization Using Low-Cost GNSS/IMU., , , , , and . IV Workshops, page 319-326. IEEE, (2021)Visual Localization for Autonomous Driving using Pre-built Point Cloud Maps., , , , and . IV, page 913-919. IEEE, (2021)