Detection of unloadings by GPS coordinates

I have a history of the car's movements, a list of GPS coordinates with timestamp (in GPX format). I'm new to ML, tried to solve but doesn't work well.

I have several problems:

1. How to correctly normalize data.

• The duration of the unloading process may take different times, so the number of points will be different.
• The nature of the unloading may look different, but they are united by one thing, during unloading the machine either stands still or slowly moves around the warehouse (see screenshots).

2. Which trainer is best.

I'll be glad for any idea.