Motion Prediction and Detection for Autonomous Vehicles
Autonomous Systems
Deep Learning
Computer Vision
Develop a framework for vehicle detection and motion planning of vehicles in complex driving scenarios
Google Colab YOLOv5 Code PyTorch Hub
Inspired by other open-source deep learning projects such as YOLO, ResNet, and Code, this project demonstrates object detection and motion prediction for autonomous vehicles using the Kaggle Lyft motion prediction dataset. We use YOLOv5 for real-time object detection and ResNet-50 for motion trajectory prediction.
