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Duckietown Competition Spotlight

Robohub

At ICRA 2022, Competitions are a core part of the conference. We shine a spotlight on influential competitions in Robotics. In this episode, Dr Liam Paull talks about the Duckietown Competition, where robots drive around Rubber Ducky passengers in an autonomous driving track. Liam Paull is an assistant professor at l'Université de Montréal and the head of the Montreal Robotics and Embodied AI Lab (REAL). His lab focuses on robotics problems including building representations of the world (such as for simultaneous localization and mapping), modeling of uncertainty, and building better workflows to teach robotic agents new tasks (such as through simulation or demonstration).


Seoul launches VR simulator to test autonomous driving

#artificialintelligence

The Seoul Metropolitan Government (SMG) has announced it is building a pilot driving zone for autonomous cars. Forming part of the cooperative intelligent transport system (C-ITS) construction project, the virtual reality autonomous driving simulator will reflect road, traffic, and weather conditions by using digital twin technologies. According to SMG, by expanding the virtual territory to Gangnam and the city centre, it will enable Seoul to "leap forward" as a city of commercialised self-driving vehicles. The autonomous driving simulator will be open to the public, and anyone from companies to research institutes, start-ups, and universities can use it free of charge. SMG's rationale is the greater the numbers of developers who test the simulator the more opportunity there is to improve their technologies, and help the industry to further advance.


Red Hat Linux is coming to your Vette and Caddy Escalade

ZDNet

Steven J. Vaughan-Nichols, aka sjvn, has been writing about technology and the business of technology since CP/M-80 was the cutting edge, PC operating system; 300bps was a fast Internet connection; WordStar was the state of the art word processor; and we liked it. Linux has long played a role in cars. Some companies, such as Tesla, run their own homebrew Linux distros. Audi, Mercedes-Benz, Hyundai, and Toyota all rely on Automotive Grade Linux (AGL). AGL is a collaborative cross-industry effort developing an open platform for connected cars with over 140 members.


Pinaki Laskar on LinkedIn: #selfdrivingcars #autonomousdriving #autonomouscars

#artificialintelligence

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner What do you think of the update to the SAE's levels of autonomous driving? Do you find these levels helpful when it comes to knowing what an AV can do? What's the difference between driver support features and automated driving? Society of Automotive Engineers (SAE) recognise that levels 0-2 are better defined as'driver support features.' Level 3 and above encompass what they would now refer to as'automated driving features.' a six degrees of automated driving: from zero automation to full automation.


Powering Data-Driven Autonomy at Scale with Camera Data

#artificialintelligence

At Woven Planet Level 5, we're using machine learning (ML) to build an autonomous driving system that improves as it observes more human driving. This is based on our Autonomy 2.0 approach, which leverages machine learning and data to solve the complex task of driving safely. This is unlike traditional systems, where engineers hand-design rules for every possible driving event. Last year, we took a critical step in delivering on Autonomy 2.0 by using an ML model to power our motion planner, the core decision-making module of our self-driving system. We saw the ML Planner's performance improve as we trained it on more human driving data.


Korean startup Mars Auto set to launch self-driving trucks in 2023

#artificialintelligence

Autonomous driving solutions are the next big thing in the transportation field. While many companies are bringing out autonomous driving solutions for passenger vehicles, not many are indulging in heavy motor vehicle autonomous driving solutions yet. Korean startup Mars Auto is dedicated to building self-driving trucks for commercial use. Self-driving truck technology is quite different from autonomous driving technology for urban passenger cars, and Mars Auto wants to make the technology commercial. Mars Auto develops artificial intelligence (AI)-based autonomous driving software for trucks for cargo transport.


Self-driving tractors plowing ahead in the marketplace

#artificialintelligence

Next time you pass a farm where a modern tractor is cruising around a field, take a closer look. While there is a farmer sitting in the cab, the vehicle might be driving itself. That tractor is often operating on auto pilot using semi-autonomous, self-driving technology. While the tractor plows along thanks to features like autosteer and computer-assisted technologies for applying fertilizers or pesticides, the farmer can send work texts or emails, pay bills or even flip through Instagram stories or TikTok videos. For farmers, this kind of efficiency is not a luxury.


Engaging with Disengagement

#artificialintelligence

Disengagement is a situation when the vehicle returns to manual control or the driver feels the need to take back the wheel from the AV decision system. I came across this news article a while ago about a man dozing off at the wheel after switching his Tesla to autonomous mode, and being criminally charged soon after because the vehicle was speeding unbeknownst to him. A quick search revealed several such reports on drivers being charged for unlawful practices in semi-autonomous vehicles. This got me thinking: how will traffic laws change as we slowly enter the autonomous vehicle era, and in general, the AI-driven 21st century? Most importantly, this brings up the question of whom to blame when dealing with adverse human-robot interactions. These aren't new questions – only questions to which new perspectives can continually be added until a final course of action is decided. While I actively try to avoid the philosophical and ethical underpinnings of the matter, I will cover the current progress in autonomous vehicle technology, trends and limitations of today's autonomous vehicle policy, and possible directions to better facilitate the transition to autonomous vehicles around the globe. The last decade or so has been a very exciting time in the self-driving vehicle space.


Functional Safety Engineer

#artificialintelligence

Woven Planet is building the safest mobility in the world. A subsidiary of Toyota, Woven Planet innovates and invests in new technologies, software, and business models that transform how we live, work and move. With a focus on automated driving, smart cities, robotics and more, we build on Toyota's legacy of trust and safety to deliver mobility solutions for all. For nearly a century, Toyota has been delivering products and services that improve lives. Automation that originated to increase the efficiency of daily activities has evolved into the safe, reliable, connected automobiles we enjoy and depend on today.


Self-driving car market race heats up; S. Korean regulations lag behind: report

#artificialintelligence

Self-driving car market race heats up; S. Korean regulations lag behind: report (Yonhap) South Korea is lagging behind in revising regulations to prepare for the commercialization of autonomous vehicles compared to other major countries such as the US, Germany and Japan, a Seoul-based think tank said Sunday. The market size of autonomous, or self-driving, vehicles is expected to grow from $7.1 billion in 2020 to $1 trillion by 2035, a report by the Korea Economic Research Institute showed. More than half of the newly launched cars to be sold in 2030 are expected to be equipped with level three autonomous driving technology. Level three autonomous driving means that the driver can hand over control to the vehicle, but must be ready to take over when prompted in a limited number of areas such as on the freeway. Autonomy in vehicles is often categorized in six levels from level zero to five according to a system developed by the US-based SAE International.