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Correspondence between Variational Methods and Hidden Markov Models

, , , , and . IEEE Intelligent Vehicles Symposium, (September 2015)

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LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation., , , , , , , and . CoRR, (2021)LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation., , , , , , , and . VISIGRAPP (5: VISAPP), page 828-835. SCITEPRESS, (2022)Correspondence between Variational Methods and Hidden Markov Models, , , , and . IEEE Intelligent Vehicles Symposium, (September 2015)BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving., , , , and . ITSC, page 2809-2815. IEEE, (2021)Lightweight, Non-invasive Collection of Steering Wheel Angles and Pedal Positions, , , , , , and . 4th International Conference on Instrumentation, Control and Automation (ICA 2016), (August 2016)Exploring Deep Spiking Neural Networks for Automated Driving Applications., , , , and . VISIGRAPP (5: VISAPP), page 548-555. SciTePress, (2019)LIDAR-Sensorik., and . Handbuch Fahrerassistenzsysteme, Springer, (2015)Near Field iToF LIDAR Depth Improvement from Limited Number of Shots., , , , and . VTC2023-Spring, page 1-6. IEEE, (2023)A Machine Learning Approach for Detecting Ultrasonic Echoes in Noisy Environments., , , and . VTC Spring, page 1-6. IEEE, (2019)SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving., , , , , and . CoRR, (2022)