A research team has developed autonomous driving software that allows inexpensive sensors to detect transparent obstacles ...

Abstract: Aerial object detection is an important task and has received significant attention in recent years. Aerial images typically depict small and sparse instances against a simple background.

3D object detection using point clouds has become a key in this field. Multi-frame fusion of point clouds is a promising technique to enhance 3D object detection for autonomous driving systems.

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Android app that uses a TensorFlow Lite model for image classification of different type of oranges, trained through Google's Teachable Machine.