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.
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.
Greg Nichols covers robotics, AI, and AR/VR for ZDNet. A full-time journalist and author, he writes about tech, travel, crime, and the economy for global media outlets and reports from across the U. Qualcomm is taking a big dive into robotics. At its 5G Summit event, the company announced a new robotics platform that serves as an off-the-shelf developer kit for creating autonomous mobile robots (AMRs) and drones, utilizing 5G and edge AI for next-gen autonomy. In practical terms, this could set off huge changes in the expanding AMR market and the upstart enterprise drone market. Currently, the space is dominated by a handful of robotics firms that build AMRs or drone-in-a-box solutions and lease them on an as-a-service model.
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.
The AI market is expected to be worth $36.8 billion by 2025, and as this autonomous branch of digital technology continues to evolve, we expect to see a host of incredible developments to emerge in the not-so-distant future--especially in this emerging age of the metaverse. While AI has been proven to enhance our daily consumer lives--with the adoption of autonomous vehicle technology, fitness devices, voice assistants, and smartphones--it has also served to improve the digital marketing efforts of businesses across many industries. Not only is AI proven to boost a company's productivity by up to 40%, but if leveraged strategically, autonomous technology can help brands to: Indeed, if utilized tactically and creatively, AI technology has the potential to help you connect with your audience on a deeper level than ever before, resulting in ongoing business growth. To put this notion into perspective, here we explore some quite different but equally inspiring uses of AI in digital marketing. The first of our inspiring AI in digital marketing examples comes from Sephora. Understanding the power of AI early on, thriving cosmetics brand Sephora has been using chatbot technology to offer its audience the most personalized, informational customer experience possible.
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe.
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.
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.
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.
Venture capital firms are eager to allocate money into robotics firms in a wide range of industries from shipping to healthcare as more automation became a focus during the global pandemic. In 2021, funding globally for robotics and drone companies rose to $14.9 billion, according to PitchBook. The amount of funding raised for robotics in 2022 has been steady. By January, VCs allocated $560 million of funding into robotics startups, excluding the round for Wandelbots, a German industrial robotics company that raised $84 million for its Series C round in January. The funding for the company's no-code platform came from U.S. investor Insight Partners, which led the round and was also supported by its existing backers - Microsoft (MSFT) - Get Microsoft Corporation Report, 83North, Next47, Paua, Atlantic Labs and EQT.