ViTAE-Transformer/SimDistill
The official repo for [AAAI 2024] "SimDistill: Simulated Multi-modal Distillation for BEV 3D Object Detection""
This project helps self-driving car engineers improve how accurately their vehicles detect 3D objects like cars and pedestrians using only camera images. It takes raw camera video feeds and outputs a precise Bird's-Eye-View (BEV) map showing detected objects and their 3D positions, without needing expensive LiDAR sensors. Autonomous vehicle perception system developers would use this to enhance camera-only detection systems.
No commits in the last 6 months.
Use this if you need to significantly boost the 3D object detection accuracy of camera-based autonomous driving systems to approach the performance of systems using both LiDAR and cameras, but with the cost-effectiveness of cameras alone.
Not ideal if your autonomous driving system already heavily relies on LiDAR and you are not looking to improve camera-only detection performance or reduce sensor costs.
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40
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3
Language
Python
License
Apache-2.0
Category
Last pushed
May 16, 2024
Commits (30d)
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