Method of controlling targeted illumination

A system comprising:

• a plurality of auxiliary lights positioned at one or more locations of a vehicle;
• a sensor module configured to detect at least one of current route information, a real-time movement of the vehicle, real-time environmental conditions, real-time vehicle operating conditions, real-time traffic conditions, real-time travel path information and obstacles information and generate sensor data based on the detection;
• and
• a processor communicatively coupled to the plurality of auxiliary lights, the sensor module, and the processor storing instructions in non-transitory memory that, when executed, causes the processor to:
• receive the sensor data from the sensor module;
• determine, using an artificial intelligence engine, an anticipated travel route and an anticipated travel path of the vehicle based on the sensor data;
• correlate the real-time movement of the vehicle along the anticipated travel path with prestored travel path information;
• predict one or more upcoming dynamic navigational changes along the anticipated travel path based on the correlation;
• and
• selectively activate, using the artificial intelligence engine, one or more auxiliary lights among the plurality of auxiliary lights to illuminate the anticipated travel path of the vehicle based on the one or more upcoming dynamic navigational changes.

A method comprising:

• receiving sensor data from a sensor module;
• determining, using an artificial intelligence engine, an anticipated travel route and an anticipated travel path of a vehicle based on the sensor data;
• correlating a real-time movement of the vehicle along the anticipated travel path with prestored travel path information;
• predicting one or more upcoming dynamic navigational changes along the anticipated travel path based on the correlation;
• and
• selectively activating, using the artificial intelligence engine, one or more auxiliary lights among a plurality of auxiliary lights to illuminate the anticipated travel path of the vehicle based on the one or more upcoming dynamic navigational changes.

A non-transitory computer readable storage medium comprising a sequence of instructions, which when executed by a processor causes:

• receiving sensor data from a sensor module;
• determining, using an artificial intelligence engine, an anticipated travel route and an anticipated travel path of a vehicle based on the sensor data;
• correlating a real-time movement of the vehicle along the anticipated travel path with prestored travel path information;
• predicting one or more upcoming dynamic navigational changes along the anticipated travel path based on the correlation;
• and
• selectively activating, using the artificial intelligence engine, one or more auxiliary lights among a plurality of auxiliary lights to illuminate the anticipated travel path of the vehicle based on the one or more upcoming dynamic navigational changes.