FLAT | Fooling LiDAR by Attacking GPS Trajectory

by ai4ce Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | FLAT Summary

FLAT is a Python library. FLAT has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Yiming Li*, Congcong Wen*, Felix Juefei-Xu, Chen Feng.

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Quality

Security

License

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Support

FLAT has a low active ecosystem.

It has 60 star(s) with 11 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

FLAT has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FLAT is current.

Quality

FLAT has no bugs reported.

Security

FLAT has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

FLAT is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

FLAT releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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FLAT Key Features

No Key Features are available at this moment for FLAT.

FLAT Examples and Code Snippets

No Code Snippets are available at this moment for FLAT.

Community Discussions

No Community Discussions are available at this moment for FLAT.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install FLAT

For white-box attacks, we use point-based PointRCNN as the target detector. point_rcnn.py rcnn_net.py rpn.py in PointRCNN/lib/net were modified for introducing attacks. kitti_dataset.py kitti_rcnn_dataset.py in PointRCNN/lib/datasets were modified for loading our customized nusc_kitti dataset. The rest code of PointRCNN is left untouched.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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