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.
As we unveil EE Times’ 2015 Silicon 60 list, journalist & Silicon 60 researcher Peter Clarke hosts a conversation on startups in the electronics industry. Panelists Dan Armbrust (investment firm Silicon Catalyst), Andrew Kau (venture capital firm Walden International), and Stan Boland (successful serial entrepreneur, former CEO of Neul, Icera) join in the live debate.