I am new to the computing world. I recently bought a Kinect v2 for windows for making a self-driving car to navigate in the indoor areas. I have a small RC car with simple functionalities of start, stop, right, left, backward but without any sensors mounted on the car. The car doesn't provide any data about the number of rotations or other odometry related data. Q1. Is there any particular SLAM that can be helpful to solve the above problem given the constraints of camera being Kinect v2 and a car without odometry?
Since, I intend to use the car in the indoor areas therefore the map of the environment is quite fixed (constant). I plan to create a map of the environment using kinect v2 and then later on compare the real time movement against that map in order to navigate. I found Hector SLAM as an alternate to gmapping but it uses laser scanner. Q2. Can I fake the kinect v2 camera as a laser scanner for Hector SLAM?
Q3. Kinect v2 requires AC power which stops the car from being a true autonomous driving RC car. Is there any way around that?
All suggestions are welcome :D
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