Last updated: 2019/02/16
It didn’t take long after the birth of the motorcar for inventors to start thinking about autonomous vehicles. In 1925, the inventor Francis Houdina demonstrates a radio-controlled car, which he drives through the streets of Manhattan without anyone at the steering wheel. According to the New York Times, the radio-controlled vehicle can start its engine, shift gears, and sound its horn, “as if a phantom hand were at the wheel.”
In 1969, John McCarthy — a.k.a. one of the founding fathers of artificial intelligence — describes something similar to the modern autonomous vehicle in an essay titled “Computer-Controlled Cars.” McCarthy refers to an “automatic chauffeur,” capable of navigating a public road via a “television camera input that uses the same visual input available to the human driver.”
In the early 1990s, Carnegie Mellon researcher Dean Pomerleau writes a PhD thesis, describing how neural networks could allow a self-driving vehicle to take in raw images from the road and output steering controls in real time.
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The Verge - Meet ALVINN, the self-driving car from 1989
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In 2002, DARPA announces its Grand Challenge, offering researchers from top research institutions a $1 million prize if they can build an autonomous vehicle able to navigate 142 miles through the Mojave Desert.
Starting in 2009, Google begins developing its self-driving car project, now called Waymo, in secret. The project is initially led by Sebastian Thrun, the former director of the Stanford Artificial Intelligence Laboratory and co-inventor of Google Street View.
The Guardian approach that Toyota Research Institute has been following, will bring safer autonomous systems
Open Source SDC components/platforms will improve collaboration across all participants in this growing industry
Jack Stilgoe, Associate Professor of Science and Technology Studies at University College London, joins David to discuss improper and irresponsible testing of autonomous vehicles
Self-Driving cars hold immense technological promise, but they won’t fundamentally solve problems like congestion, at least for now.
We define a novel variational network capable of learning from raw camera data of the environment as well as higher level roadmaps to predict (1) a full probability distribution over the possible control commands; and (2) a deterministic control command capable of navigating on the route specified within the map.
Technical Paper: http://arxiv.org/abs/1811.10119
Showcase a few robotics embedded platforms,
Nvidia and Xilinx FPGA based
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Meetup - https://www.meetup.com/GTA-Robotics/
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Slack - http://join.ossdc.org
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https://medium.com/@mslavescu/from-0-to-60-in-4-weeks-f6463ffe28a9
https://becominghuman.ai/what-is-next-in-ossdc-org-3610f75794f3
https://github.com/OSSDC/OSSDC-Hacking-Book/wiki/Vision-and-Mission
https://www.youtube.com/channel/UCDPC2xnXxgQOFeZb1o185rQ/playlists
https://www.digitaltrends.com/cars/history-of-self-driving-cars-milestones/
https://angel.co/job-collections/top-self-driving-cars-startups
https://www.cbinsights.com/research/startups-drive-auto-industry-disruption/