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PhD Adwait, Step by Step guide, Identify the general dimensions our data…
PhD Adwait
Information from trail maps
use measured densities of objects
Dynamic / static objects as input
Output, objets
Create simulation
Car moves from A to B
Path across time is input to the system
Simulate other objects
Boxes with trails
Carla / XVIS from Nexus
Step by Step guide
1) First define task
What data is valuable
What should it be valuable for ?
2) Input Value Metric as black box function
3) Output Embedding
Maximizes value metric
OSM
Data Value Metrics
Predict future value metrics
Making route proposals based on Viktors models
Step by Step guide
3) Use 2) to train a RLA that maximizes 1)
Needs route proposals
Needs to understand road network
1) Choose one ore more data value metrics
2) Calculate object densities on all locations on our map
Identify the general dimensions our data can be broken into from a conceptional point of view