VectorNav Technologies’ Post

For the last three months, I've worked on a technology platform that can test and proof technology for high-speed driverless vehicles with the Indy Autonomous Challenge. At first glance, it seems like a far cry from the financial technology platforms we offer at Unbox. In truth, the parallels are striking. Both are dedicated to building the foundational technologies that pave the way for future innovations. Though I'll readily admit hardware engineering is a tad noisier. 😃 So why is the Indy Autonomous Challenge a critical building block for the autonomous mobility infrastructure of the next decade? 🚗 Autonomy on Highways is a Non-negotiable Feature: Today's self-driving technology has largely focused on low-speed applications, but what's the use if it can't safely handle highway speeds of 70mph and above? These are precisely the scenarios where full autonomy is most desirable. The Indy Autonomous Challenge is pushing the boundaries beyond current ADAS systems, expanding the possibilities for high-speed autonomous travel. 🏁 Motorsport is the World's Biggest Science Fair: The advancements in high-speed autonomy draw a parallel to Formula 1's history of technological breakthroughs. Much like F1 transformed carbon fiber from a specialized material to a mainstream automotive standard, our work aims to similarly transition high-speed autonomous technologies to everyday use. Another great example comes straight out of Indiana's backyard: the humble rearview mirror. First introduced by driver Ray Harroun in the 1911 Indy 500 and yes, he won the race that year. 🏎 Testing for Failure, Not Comfort: Want to see if your product works? Take it to the most unforgiving environment imaginable and iterate there. Our approach to high-speed testing isn’t just about pushing the speedometer. It’s about rigorously testing safety and reliability under extreme conditions. These high-speed trials lay a solid foundation for safer, more efficient autonomous systems at all speeds. 👨💻 Disruption Should be Managed, not Chased: Integrating autonomous driving into the consumer market is a delicate affair. It demands more tact than most software founders are accustomed to. Government, academia, and the private sector need a joint platform to work in tandem and align technological advancements with market readiness and infrastructure. In a world bracing for a significant shift in mobility, every step we take to minimize disruption is a step forward. 🧱 Invest in Solid Platforms that Enable Future Innovation: The IAC AV-24 is not only a next-gen vehicle; it represents a concerted effort to refine a platform where the future of autonomous driving will evolve and a commitment to advancing this technology, not just for speed, but for the safety and efficiency it brings to the roads of tomorrow. There is a lot more to come for the Indy Autonomous Challenge this year. I'm looking forward to sharing it with you all.

With the growing popularity of the trend towards liberating human drivers from the steering wheel during the entire driving process, the R&D of autonomous driving technologies has gained heightened attention.

With the growing popularity of the trend towards liberating human drivers from the steering wheel during the entire driving process, the R&D of autonomous driving technologies has gained heightened attention.

Pegasus Technology uses #NVIDIAJetson to develop autonomous industrial and special working vehicles using #computervision and planning algorithms to increase efficiency and handle extremely complex road environments in super-busy cities. Learn more.

Pegasus Technology uses #NVIDIAJetson to develop autonomous industrial and special working vehicles using #computervision and planning algorithms to increase efficiency and handle extremely complex road environments in super-busy cities. Learn more.

Anatomy of a Scenario In most driving simulation scenarios, there are two types of cars. The one that’s driven by the participant (commonly referred to as ego), and others that are controlled from the scenario. With the rise of autonomous driving, it’s not uncommon to have scenarios where ego also is controlled from the scenario. Collected Source: Driving Simulation in Unreal Engine #virtual_driver #autonomous_vehicles #simulation #e_scooter

With the growing popularity of the trend towards liberating human drivers from the steering wheel during the entire driving process, the R&D of autonomous driving technologies has gained heightened attention.

With the growing popularity of the trend towards liberating human drivers from the steering wheel during the entire driving process, the R&D of autonomous driving technologies has gained heightened attention.

Sanjeev Sharma was interviewed by Priyakshi Gupta, co-founder of EVreporter.com, where they discussed in detail the ongoing research at Swaayatt into enabling Level-5 #autonomousdriving. This interview covered our prior and current work in enabling autonomous vehicles perceive using only off-the-shelf cameras, as well as in allowing #autonomousvehicles to negotiate traffic-dynamics that is complex, stochastic, and adversarial in nature. The discussions covered both the classical research in the past we have done, and the modern research in enabling end-to-end autonomous driving via embodied intelligence. Our first demonstration of embodied intelligence was in our Nov 15, 2017 demo, where our vehicle used multi-RL agents based framework to negotiate tight stochastic dynamic environments -- a pioneering work in the context of RL being used for autonomous driving. In the coming months we will showcase capabilities that will change the way autonomous driving is perceived currently, both on- and off-roads. #reinforcementlearning #machinelearning #deeplearning

With the growing popularity of the trend towards liberating human drivers from the steering wheel during the entire driving process, the R&D of autonomous driving technologies has gained heightened attention. #selfdriving