It may be possible for MIT like institute to develop the control alogorithms based upon adaptive learning methods.
For example , based upon the currently available knowledge and the real time 3D data available from the sensors , the autonomous system can still remain in the learning mode while allowing the driver to have full control of the car. The system can then note down the driver actions vs. the analysis done by the system as per the sensor data and can prepare a kind of rule table. Over a period this rule table gets refined and refined so much that the system can use that rule-based table to make autonomous driving decisions.
Drones are, in essence, flying autonomous vehicles. Pros and cons surrounding drones today might well foreshadow the debate over the development of self-driving cars. In the context of a strongly regulated aviation industry, "self-flying" drones pose a fresh challenge. How safe is it to fly drones in different environments? Should drones be required for visual line of sight – as are piloted airplanes? Join EE Times' Junko Yoshida as she moderates a panel of drone experts.