EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection(ECCV 2020)
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Updated
Aug 25, 2020 - Python
EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection(ECCV 2020)
Implementación de algoritmos de aprendizaje no supervisado para realizar clustering a los datos del sensor LIDAR del KITTI-dataset
KITTI point cloud viewer with 3D Box realized by Matlab. At the same time, I realize the point-cloud car detection by DL. You just need to click the mouse once then the results got.
simple visualization toolbox for 3d vision sensors/tasks
Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"
KITTI3D to Falling Things (FAT) Converter
Visualize KITTI sequences and object detection benchmark on ROS with full tf support.
Annotation File Converter is a GitHub repository that includes Python-based conversion scripts to convert annotations from one format to another.
A Robust, light-weight and unique 3D object detection architecture providing results (better than the conventional architectures) in real-time autonomous driving scenarios
[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
A list of point cloud scene flow papers, codes and datasets.
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