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#Welcome to the DriveAI wiki content
###Some introductory resources
Although autonomous driving is a large and rapidly growing field, it's probably useful to start out with some 'winning' prior art.
###Historical materials
2005 DARPA Grand Challenge race
PBS Documentary 'The Great Robot Race'
###Technical materials on 'Stanley' and related systems (the 'Thrun' school of thought)
'Stanley' the autonomous car, from Stanford AI group
Original Stanford web pages for Stanley including tech stuff
Sebastian Thrun's technical papers and related on Stanley
'Three Layer Architecture' used in Stanley software system
Eran Gatt Three Layer Architecture paper
###Software available for development and test
Stanford Driving Software (on sourceForge, beware!!!)
Openhub analysis of Stanford Driving Software
###Autonomous planning systems for automobiles
Autonomous Path Planning (Thrun et al)
On Road planning for autonomous vehicles
###LAGR Related
The LAGR platform is was used in LAGR program as a common platform for test and demonstration of autonomous systems applied to ground robots.
Learning Applied to Ground Robots (LAGR)
The modern parents of Deep Learning were/are actively involved in LAGR software development;
NYU/LeCun CNN work with LAGR platform
###Sensors and related fusion
Stereolabs Zed stereo camera for 3D vision
'robopeak' inexpensive LIDAR platform
###Assorted