waymo-motion-prediction-challenge-2022-multipath-plus-plus
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++ (by stepankonev)
Trajformer
Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020) (by Manojbhat09)
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waymo-motion-prediction-challenge-2022-multipath-plus-plus | Trajformer | |
---|---|---|
1 | 2 | |
343 | 37 | |
- | - | |
2.7 | 0.0 | |
about 1 year ago | over 2 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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.
waymo-motion-prediction-challenge-2022-multipath-plus-plus
Posts with mentions or reviews of waymo-motion-prediction-challenge-2022-multipath-plus-plus.
We have used some of these posts to build our list of alternatives
and similar projects.
Trajformer
Posts with mentions or reviews of Trajformer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-10.
-
[D] Calling out the authors of 'Trajformer' paper for claiming they published code but never doing it
The author(s) just pushed a new update on the project Github, promising to release their code by NIPS deadline.
What are some alternatives?
When comparing waymo-motion-prediction-challenge-2022-multipath-plus-plus and Trajformer you can also consider the following projects:
M2I - M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.
citysim - Example city simulation for autonomous vehicles in Gazebo Classic.
Automatic-Parking - Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
CMU-DATF
AgentFormer - [ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
community - Stores documents used by the TensorFlow developer community
CASD
waymo-motion-prediction-challenge-2022-multipath-plus-plus vs M2I
Trajformer vs citysim
waymo-motion-prediction-challenge-2022-multipath-plus-plus vs Automatic-Parking
Trajformer vs CMU-DATF
waymo-motion-prediction-challenge-2022-multipath-plus-plus vs AgentFormer
Trajformer vs community
Trajformer vs CASD