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cs.CV2024
OFMPNet: Deep End-to-End Model for Occupancy and Flow Prediction in Urban Environment
Youshaa Murhij, Dmitry Yudin
The task of motion prediction is pivotal for autonomous driving systems, providing crucial data to choose a vehicle behavior strategy within its surroundings. Existing motion predi…
cs.CV2023
Rethinking Voxelization and Classification for 3D Object Detection
Youshaa Murhij, Alexander Golodkov, Dmitry Yudin
The main challenge in 3D object detection from LiDAR point clouds is achieving real-time performance without affecting the reliability of the network. In other words, the detecting…
cs.CV2021
Real-time 3D Object Detection using Feature Map Flow
Youshaa Murhij, Dmitry Yudin
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…