Object Movement Prediction for Autonomous Cars
From ISLAB/CAISR
| Title | Object Movement Prediction for Autonomous Cars |
|---|---|
| Summary | Predicting the movement of objects in the context of autonomous cars |
| Keywords | |
| TimeFrame | |
| References | https://motchallenge.net
https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection |
| Prerequisites | |
| Author | |
| Supervisor | Tiago Cortinhal |
| Level | Master |
| Status | Open |
Right now we have architectures like Yolo that are very good at predicting bounding boxes for objects.
But what if we wanted to use that abstraction to try predict the next time-step position of the objects in it? The idea behind this project would be to try to create a model that could, given the n previous frames, predict the following one.
