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Found 3 papers, 3 papers with code
OFMPNet: Deep End-to-End Model for Occupancy and Flow Prediction in Urban Environment
The task of motion prediction is pivotal for autonomous driving systems, providing crucial data to choose a vehicle behavior strategy within its surroundings.
Rethinking Voxelization and Classification for 3D Object Detection
The main challenge in 3D object detection from LiDAR point clouds is achieving real-time performance without affecting the reliability of the network.
Real-time 3D Object Detection using Feature Map Flow
In this paper, we present a real-time 3D detection approach considering time-spatial feature map aggregation from different time steps of deep neural model inference (named feature map flow, FMF).
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