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Found 3 papers, 2 papers with code
Can you see me now? Blind spot estimation for autonomous vehicles using scenario-based simulation with random reference sensors
In this paper, we introduce a method for estimating blind spots for sensor setups of autonomous or automated vehicles and/or robotics applications.
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception
To this end, we propose a novel computational taxonomy of LiDAR point cloud representations used in modern deep neural networks for 3D point cloud processing.
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation
Despite recent successes, the advances in Deep Learning have not yet been fully translated to Computer Assisted Intervention (CAI) problems such as pose estimation of surgical instruments.
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