4 ms·

Nice. I didn't know they where working on self driving cars back in 1989! There's probably a lot to be learned. Today all the computing power of those racks can

by z3t4 9y ago

Nice. I didn't know they where working on self driving cars back in 1989! There's probably a lot to be learned. Today all the computing power of those racks can probably fit on a respery /nuc. Eg, you do not need a van, you could use an RC!

s-macke 9y ago
Take a look at following news and search for the thread started by guicho271828. https://news.ycombinator.com/item?id=15593305 https://news.ycombinator.com/item?id=15593305
shakna 9y ago
VaMoRs drove on the Autobahn in '87 [0]. [0] https://www.youtube.com/watch?v=2EH3R6c7Ufg https://www.youtube.com/watch?v=2EH3R6c7Ufg
- ktpsns 9y ago
  This looks so much fun and was probably unrivalled and academic spirit.
cr0sh 9y ago
You need to look deeper into the ALVINN project (and the projects the preceded and came after it); it was one of the earlier attempts at a CNN-like architecture for self-driving vehicles. A good start is here: http://repository.cmu.edu/cgi/viewcontent.cgi?article=2874&context=compsci http://repository.cmu.edu/cgi/viewcontent.cgi?article=2874&c... And yes, that van held a rack-mounted computing system that included a WARP systolic array processor: https://en.wikipedia.org/wiki/WARP_(systolic_array) https://en.wikipedia.org/wiki/WARP_(systolic_array) ...which is very similar to what we have today as a GPU; it was basically a "high-speed" (for its time) vector processing system (in other words, perfect for neural-network processing). The processor on the vehicle ran the pre-trained model; training the model using similar machines took a really long time (weeks, iirc), even with the small number and sizes of layers they were working with. Compare and contrast the ALVINN project (there's a lot of research papers and such on it - video, pictures, etc - dig into it if you are interested) to NVidia's End-to-End CNN self-driving vehicle: https://devblogs.nvidia.com/parallelforall/deep-learning-self-driving-cars/ https://devblogs.nvidia.com/parallelforall/deep-learning-sel... You'll find a lot of parallels (and ALVINN - plus one or two of the other projects, iirc, is mentioned in their paper). I'm familiar with a lot of this mainly thru my self-study of machine learning and deep learning via a combination of courses from Udacity and (now) Coursera. My first impressions about ALVINN actually came from articles and video about it when I was a kid in the 1980s; I didn't understand how it worked at the time, but I was really impressed and intrigued by it. In 2011, I took part in (and ultimately completed) Andrew Ng's "ML Class" MOOC (this became one of Coursera's first courses) - and he made mention of ALVINN as a part of the course - and it inspired this guy, who was part of the class, to re-create it: http://blog.davidsingleton.org/nnrccar/ http://blog.davidsingleton.org/nnrccar/ So you aren't too off-base here; yes, that rack of machinery back in the 1980s has shrunk to pocket-size. Earlier this year, as part of the course for Udacity's "Self-Driving Car Engineer" Nanodegree program, I implemented (using their simulator) a version of the NVidia End-to-End CNN architecture to drive the simulated car around the simulation track based only on what it learned from my own "driving" in the simulation. Finally - if you are really interested in this - and want to compete on somewhat of a budget - there's this (among so many other similar competitions out there): https://diyrobocars.com/ https://diyrobocars.com/

by z3t4 9y ago

s-macke 9y ago

Take a look at following news and search for the thread started by guicho271828. https://news.ycombinator.com/item?id=15593305 https://news.ycombinator.com/item?id=15593305

shakna 9y ago

VaMoRs drove on the Autobahn in '87 [0]. [0] https://www.youtube.com/watch?v=2EH3R6c7Ufg https://www.youtube.com/watch?v=2EH3R6c7Ufg

ktpsns 9y ago
This looks so much fun and was probably unrivalled and academic spirit.

cr0sh 9y ago

You need to look deeper into the ALVINN project (and the projects the preceded and came after it); it was one of the earlier attempts at a CNN-like architecture for self-driving vehicles. A good start is here: http://repository.cmu.edu/cgi/viewcontent.cgi?article=2874&context=compsci http://repository.cmu.edu/cgi/viewcontent.cgi?article=2874&c... And yes, that van held a rack-mounted computing system that included a WARP systolic array processor: https://en.wikipedia.org/wiki/WARP_(systolic_array) https://en.wikipedia.org/wiki/WARP_(systolic_array) ...which is very similar to what we have today as a GPU; it was basically a "high-speed" (for its time) vector processing system (in other words, perfect for neural-network processing). The processor on the vehicle ran the pre-trained model; training the model using similar machines took a really long time (weeks, iirc), even with the small number and sizes of layers they were working with. Compare and contrast the ALVINN project (there's a lot of research papers and such on it - video, pictures, etc - dig into it if you are interested) to NVidia's End-to-End CNN self-driving vehicle: https://devblogs.nvidia.com/parallelforall/deep-learning-self-driving-cars/ https://devblogs.nvidia.com/parallelforall/deep-learning-sel... You'll find a lot of parallels (and ALVINN - plus one or two of the other projects, iirc, is mentioned in their paper). I'm familiar with a lot of this mainly thru my self-study of machine learning and deep learning via a combination of courses from Udacity and (now) Coursera. My first impressions about ALVINN actually came from articles and video about it when I was a kid in the 1980s; I didn't understand how it worked at the time, but I was really impressed and intrigued by it. In 2011, I took part in (and ultimately completed) Andrew Ng's "ML Class" MOOC (this became one of Coursera's first courses) - and he made mention of ALVINN as a part of the course - and it inspired this guy, who was part of the class, to re-create it: http://blog.davidsingleton.org/nnrccar/ http://blog.davidsingleton.org/nnrccar/ So you aren't too off-base here; yes, that rack of machinery back in the 1980s has shrunk to pocket-size. Earlier this year, as part of the course for Udacity's "Self-Driving Car Engineer" Nanodegree program, I implemented (using their simulator) a version of the NVidia End-to-End CNN architecture to drive the simulated car around the simulation track based only on what it learned from my own "driving" in the simulation. Finally - if you are really interested in this - and want to compete on somewhat of a budget - there's this (among so many other similar competitions out there): https://diyrobocars.com/ https://diyrobocars.com/