Object Detection is USELESS
One of the biggest misunderstanding among students and outsider robotic learners is that Object Detection = Self-Driving Cars.
Somehow, this misconception keeps surviving, and many spend weeks learning all the details about the latest version of YOLO. In reality, self-driving cars are NOT using object detectors like YOLO as their main perception pipeline.
It can be a tool, that is later fused with point clouds, or used for region filtering, or other... but rarely the end algorithm.
Instead, companies focus on Object Tracking. Knowing that an object is at pixel (300,300) is USELESS to a self-driving car. But knowing that the car is crossing our lane is useful.
Object Tracking turns detection into a useful feature.
Object Tracking in Action
The best way to learn it? Meet the...
