InterFuser
[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer (by opendilab)
UniAD
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving (by OpenDriveLab)
| InterFuser | UniAD | |
|---|---|---|
| 1 | 1 | |
| 465 | 2,879 | |
| 4.1% | 5.8% | |
| 6.1 | 7.1 | |
| 4 months ago | about 2 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
InterFuser
Posts with mentions or reviews of InterFuser.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
For more information, you can refer to InterFuser GitHub.
UniAD
Posts with mentions or reviews of UniAD.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Goal-oriented Autonomous Driving (Open Source!)
Code: https://github.com/OpenDriveLab/UniAD (to be released soon)
What are some alternatives?
When comparing InterFuser and UniAD you can also consider the following projects:
PythonRobotics - Python sample codes for robotics algorithms.
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
M2I - M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box