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.
Beijing's first group of autonomous minibusses, Apollo Robobus, underwent a first test in Beijing's Intelligent Connected Vehicle Policy Pilot Zone after receiving licenses on April 28. The pilot zone, which covers 225 square kilometers in southern Beijing, was recently approved and involves road testing, demonstrations, commercial operation services and roadside infrastructure. The Robobus, developed by Chinese tech giant Baidu, is a Level-4 mass-produced intelligent connected bus. It achieves autonomous driving by relying on Baidu artificial intelligence, deep learning achievements and autonomous driving technologies, according to insiders from Baidu Apollo. Level-4 autonomy means that the vehicle can drive autonomously in most conditions without a human driver.
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.
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.
There are so many devices these days that make our lives remarkably easier, but one of the best has to be the robot vacuum. It gets under the couch more easily and you don't have to set aside time to tidy up the floor. Right now, you can jump into the cleanest part of the smart home revolution for a little bit less. Amazon has a one-day sale on Eufy's Anker robot vacuums. The deals end just before midnight Pacific time on Wednesday evening. The best deal today is the Anker RoboVac X8 Hybrid, which is on sale for $400.
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 wireless industry has been one of the fastest growing spaces for several decades. That does not mean, however, that it is always on fire. Every growth wave has ebbs and flows. It all depends on the period of time in which you are focused. The good news is the wireless industry has entered the next growth wave with 5G, AI, IoT, AR, VR, cloud and more.
With e-commerce orders pouring in, a warehouse robot picks mugs off a shelf and places them into boxes for shipping. Everything is humming along, until the warehouse processes a change and the robot must now grasp taller, narrower mugs that are stored upside down. Reprogramming that robot involves hand-labeling thousands of images that show it how to grasp these new mugs, then training the system all over again. But a new technique developed by MIT researchers would require only a handful of human demonstrations to reprogram the robot. This machine-learning method enables a robot to pick up and place never-before-seen objects that are in random poses it has never encountered.
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.