1. Are the trained object detectors in the simulation applied to real world data also or is only the part that makes decisions transferred to the real vehicle (e.g. it's safe to turn left here) while detectors trained on real world images of cars, people, etc. used?
2. Tangentially, I thought that in general detectors trained on computer generated images was not very applicable to real world images. eg training on a bunch of images of 3d modeled humans won't work well with testing on pictures of real humans. Is this not true?
I am working on software / internet side hustles outside my day job as a software engineer in the hopes that one will eventually hit. I have some family and financial responsibilities that make me very averse to quitting a stable paycheck with no significant traction on the side project.
Were you able to do this without taking investor/vc money? I imagine a VC would want me to work full time from the beginning which would be understandable if they're putting in money. From what I've read, it seems like a lot of people that do take VC money are able to take a minimal paycheck since they are usually younger and have minimal outside responsibilities.
Thanks for any help.