content: Right now I have been sitting on a way to make anything see like a self driving car that requires only one lens and no computer processing power. Yet it can tell what is close and what it is about to hit . I wrote that one down 15 years ago. It came to me after watching a science program about how bugs see to fly. Imagine we couod have had self drivng cars 15 years ago. Works great.  Post a demo video. No need to give the whole game away, just show the results. If you can actually deliver on that promise then you'll have no trouble finding backers. Remember, self-driving cars need a lot more than just generating a point cloud. Do you handle segmentation into objects, trajectory tracking for all objects, recognition of objects to apply predictive models of their movement so you can plan a path around them, street sign recognition, lane tracking, etc? Does your method work in all reasonable lighting and weather conditions? How robust is it, what kind of error rate do you get? I'm not trying to put you down, I really want to see you come back with "of course it does all that, here's the video". It just sounds like maybe the problem's harder than you think it is.