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Achelous: A Fast Unified Water-surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave Radar

Python 99.32% Jupyter Notebook 0.68%
multi-modal-fusion multi-modal-learning multi-task-learning object-detection object-tracking panoptic-perception point-cloud-segmentation semantic-segmentation 4d-mmwave-radar

achelous's People

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nobreakfast jie311 fuyougong ozlana eltociear hyeongd yaoshanliang wbzheng11

achelous's Issues

model weights file

Where can I download the weights file, it's not marked in the readme.

Dataset

Could you please offer the dataset？

Data

你好：我发现在WaterScenes里面的radar的csv数据并没有RCS这个标签数据，所以无法用radar_feature_map_generate.ipynb进行转换，请问这个问题您是怎么解决的呢？
谢谢！

training weight

Hello！
Could you provide the training weights for inference？
Thank you.

pretrained models

Hi,

do you have links to the pretrained models(image encoders) used in this work?

about format of radar file

It seems like you've stored the raw radar point cloud data in CSV format and then converted the point cloud into a feature map in the radar_feature_map_generate.ipynb notebook. I don't quite understand the conversion process, can you provide some CSV-format radar files and some raw radar data?

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