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Real-Time clustering and LiDAR-camera fusion on embedded platforms for self-driving cars.

, , , , , and . IRC, page 398-405. IEEE, (2020)

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Real-Time clustering and LiDAR-camera fusion on embedded platforms for self-driving cars., , , , , and . IRC, page 398-405. IEEE, (2020)A Systematic Assessment of Embedded Neural Networks for Object Detection., , , , , , , , , and . ETFA, page 937-944. IEEE, (2020)Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles., , , , and . MECO, page 1-4. IEEE, (2021)er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds., , , , , , , , , and 8 other author(s). CoRR, (2023)A benchmark analysis of data-driven and geometric approaches for robot ego-motion estimation., , , , , , , , and . J. Field Robotics, 40 (3): 626-654 (May 2023)Latency-Aware Generation of Single-Rate DAGs from Multi-Rate Task Sets., , , and . RTAS, page 226-238. IEEE, (2020)All You Can Embed: Natural Language Based Vehicle Retrieval With Spatio-Temporal Transformers., , , , and . CVPR Workshops, page 4253-4262. Computer Vision Foundation / IEEE, (2021)Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning., , and . INNSBDDL, page 286-295. Springer, (2019)A survey on real-time DAG scheduling, revisiting the Global-Partitioned Infinity War., , and . Real Time Syst., 59 (3): 479-530 (September 2023)Model-Based Underwater 6D Pose Estimation from RGB., , , , , , , , and . CoRR, (2023)