neural agent is one of the subject taugh during my univ period..
during my final year i was to develop a neural agent for driving simulation..it is easy actually however, need to be clear of the algorithm which is pain in the ass since i am no mathematician..

to simplify..the car itself has sensor, to detect speed, collision, obstacle and motion for every angle..the input for the neural network, then the algorithm will process the output such as speed and direction..i think can find the algo in some journal but cant remember which one..but for the project, im just using computer simulation that generate output, work well, but for the real project, we need real car and sensor and some mechanical part that moves the car..illustration:




its not so hard actually, this can be build using neuroD..i asked my lect who is a lecturer to help me on the algo..the final output will based on the input and the algorithm. for example, the car is moving at 70kmph, it detect other moving car at 50kmph 10 meter in front of it, then the the computer calculate and output is produce where the car will decelerate and slows at 50kmph before hitting the the car in front in 5 meter..same goes when entering corner, the car will detect the angle of the turning..it will process the input and generate output equivalent to the situation..btw, real AI car has been developed, i think the concept is the same as above..

This post has been edited by tentenko: Jul 14 2009, 10:30 AM