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[P] Some clarification needed on controlling outputs of multiple models

The ‘mental’ picture I have in my head is that I have 2 models, a RNN and a CNN. These models take data (sensory and Image) from a self driving car simulator (CARLA). The output of both the models will be a set of instructions to keep the car in the center lane (and later on braking, speedingup etc)

My question is, what is the best approach to combine the outputs. so the RNN with output (lets assume) steer 40o, the CNN with output steer 35o. what approach should I take for finding out which is the best course to take.

Or should I be looking at other models (R-CNNs) or possible another approach for model building.

Cheers

submitted by /u/trustedBatman
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.