For the last century, U.S. economic policy has worked against life, liberty, and property. The Strategic #Bitcoin Reserve changes that.
A turning point in American history. A return to sound money, private property, and free markets.
#Bitcoin is America’s second chance 🇺🇸
@Posledniskaut Tak to je silene Klus zesilel 🤢 o jeho zene nemluvim. Divim se ze maj boty! To by Kryl koukal, ze se pry hlasi k jeho odkazu… Ted bych ho uz na piete za nej jako v 2014 vystupovat teda nenechal. Klus i jeho zena at se sbali a jedou tam jiste je prijmou jako rovnocenne obcany.
Autonomous driving through extremely-tight-dynamic environments with complex, stochastic, and adversarial traffic-dynamics, or simply through an absolute chaos, on sub-urban unstructured roads in India.
This kind of traffic and environment has never been attempted in the history of #autonomousdriving.
There were no traffic-rules to abide by on this road, other than to perform a left-sided avoidance, if the other obstacles follow the same, else the vehicle will have to change its plan in a stochastic manner, in several of the adversarial multi-agent negotiation settings encountered throughout the autonomous navigation.
This demos tested our motion planning and decision making framework to its limits, showcasing its robustness in negotiating such traffic-dynamics with ease.
This demo was done on mostly a very narrow road, suited mostly for one-way navigation, but as is customary in India, bidirectional traffic is active on such narrow roads.
It can be seen throughout navigation that the incoming vehicles didn't allow any gaps for our #AutonomousVehicles, forcing it to negotiate passively-aggressively its own path through the chaos. Furthermore, obstacles overtaking us didn't follow any rules either, and zig-zagged and moved in crisscross fashion, challenging our motion and behaviour planning software, which negotiated all such scenarios with ease.
There were only two points where our vehicle came to halt, when two girls on a two-wheeler didn't stop and just kept on navigating, despite our vehicle being closer to the narrow passage and it having the right of way, and despite a bike being parked over there by someone, making it a very challenging scenario both for the humans and for the decision making autonomous agent(s).
This demo was done in the Awadhpuri area, on the Durga Mata road. This framework was last shown in relatively much sparser traffic in our Kankali Kali Mata demo last month. It is being scaled further with deep unsupervised and #reinforcementlearning , and in the coming weeks, it will play a critical role in our endeavour to solving the Level-4 autonomy problem by the end of the year.
This kind of traffic negotiation has never been attempted by any autonomous driving company ever. While a 90-degree turn is usually discussed as a corner case in the West, our autonomous vehicle negotiated a blind 90-degree corner, with traffic, with ease.
#deeplearning #MachineLearning @swaayatt
@charm62203@HritikR09722041@PicturesFoIder There is a ball storage behind the building and every single hour Mr. Maurya take all the huge balls (aprox. 120 of them - one in every 30 seconds), check the pressure and drive/load it to that awesome Real world advertising machine!
@1250cc03004c44e@PolicieCZ Dobra prace. Desive je ze takovyto primitiv ma legalne drzenou zbran! Prosim jeste kontroly mentalni zpusobilosti k drzeni zbrani… 🙏🫡