Ricardosc97/T-PIE
Pedestrian Intention Estimation using stacked Transformers Encoders
This project helps robotics engineers and researchers working on autonomous systems to predict when a pedestrian will cross the road. By analyzing video footage of pedestrian behavior, it takes in data like their speed, pose, and surrounding context to output a prediction of their intention to cross. This is useful for improving the safety and reliability of self-driving cars and other automated vehicles.
No commits in the last 6 months.
Use this if you are developing or testing autonomous vehicle systems and need to accurately predict pedestrian crossing intentions.
Not ideal if you are working with other forms of human intention prediction or require real-time inference on resource-constrained edge devices without GPU acceleration.
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Python
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Last pushed
Mar 07, 2022
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