shanjiayao/PTT

Official PyTorch Implementation for "PTT: Point-Track-Transformer Module for 3D Single Object Trackingin Point Clouds"

32
/ 100
Emerging

This project helps self-driving car engineers and robotics researchers accurately track specific objects in real-time using lidar data. It takes in raw point cloud data from sensors and outputs the precise 3D location and movement of a single object over time. This is especially useful for maintaining tracking even when objects are far away or partially obscured.

No commits in the last 6 months.

Use this if you need robust and accurate 3D single object tracking from sparse point cloud data, such as in autonomous vehicle navigation or robotic perception tasks.

Not ideal if your application requires tracking multiple objects simultaneously or if you are working with dense visual image data instead of point clouds.

autonomous-driving robotics 3d-object-tracking lidar-processing perception-systems
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 15 / 25

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Stars

91

Forks

12

Language

Python

License

Last pushed

Jun 29, 2022

Commits (30d)

0

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