HydraFusion: Context-aware selective sensor fusion for robust and efficient autonomous vehicle perception

AV Malawade, T Mortlock… - 2022 ACM/IEEE 13th …, 2022 - ieeexplore.ieee.org
Although autonomous vehicles (AVs) are expected to revolutionize transportation, robust
perception across a wide range of driving contexts remains a significant challenge …

HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception

AV Malawade, T Mortlock, MA Al Faruque - conferences.computer.org
Although autonomous vehicles (AVs) are expected to revolutionize transportation, robust
perception across a wide range of driving contexts remains a significant challenge …

HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception

AV Malawade, T Mortlock, MAA Faruque - arXiv preprint arXiv:2201.06644, 2022 - arxiv.org
Although autonomous vehicles (AVs) are expected to revolutionize transportation, robust
perception across a wide range of driving contexts remains a significant challenge …

HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception

AV Malawade, T Mortlock… - 2022 ACM/IEEE 13th …, 2022 - computer.org
Although autonomous vehicles (AVs) are expected to revolutionize transportation, robust
perception across a wide range of driving contexts remains a significant challenge …

[PDF][PDF] HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception

AV Malawade, T Mortlock, MA Al Faruque - 2022 - academia.edu
Although autonomous vehicles (AVs) are expected to revolutionize transportation, robust
perception across a wide range of driving contexts remains a significant challenge …

[PDF][PDF] HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception

AV Malawade, T Mortlock, MA Al Faruque - 2022 - researchgate.net
Although autonomous vehicles (AVs) are expected to revolutionize transportation, robust
perception across a wide range of driving contexts remains a significant challenge …