Self-driving cars are one of the most hotly debated topics when it comes to vehicle safety. Plenty of companies are using autonomous vehicles for various purposes. However, most Americans don't think they're all that safe. Additionally, with videos showing the faults of some of these systems, it's easy to see the hesitation. So, it will undoubtedly get better over time.
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. You might think you should look down toward the water to spot a sub. If you're in North Carolina, you'd be better off looking up. That terrible joke is brought to you by a drone delivery services company called Flytrex, which just announced a partnership with Jersey Mike's Subs.
Royal Mail is building a fleet of 500 drones to carry mail to remote communities all over the UK, including the Isles of Scilly and the Hebrides. The postal service, which has already conducted successful trials over Scotland and Cornwall, will create more than 50 new postal drone routes over the next three years as part of a new partnership with London company Windracers. Drones, or UAVs (uncrewed aerial vehicles), can help reduce carbon emissions and improve the reliability of island mail services, Royal Mail claims. They offer an alternative to currently-used delivery methods that can be affected by bad weather – ferries, conventional aircraft and land-based deliveries. They can also take off from any flat surface (sand, grass or tarmac) providing it is long enough.
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.
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.
Humanity has been waiting for self-driving cars for several decades. Thanks to the extremely fast evolution of technology, this idea recently went from "possible" to "commercially available in a Tesla". Deep learning is one of the main technologies that enabled self-driving. It's a versatile tool that can solve almost any problem – it can be used in physics, for example, the proton-proton collision in the Large Hadron Collider, just as well as in Google Lens to classify pictures. Deep learning is a technology that can help solve almost any type of science or engineering problem. CNN is the primary algorithm that these systems use to recognize and classify different parts of the road, and to make appropriate decisions. Along the way, we'll see how Tesla, Waymo, and Nvidia use CNN algorithms to make their cars driverless or autonomous. The first self-driving car was invented in 1989, it was the Automatic Land Vehicle in Neural Network (ALVINN). It used neural networks to detect lines, segment the environment, navigate itself, and drive. It worked well, but it was limited by slow processing powers and insufficient data.
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.
In my third article about the ethics of artificial intelligence (AI), I look at operationalizing AI ethics. Human intelligence remains a key factor – to keep a watchful eye on potential biases. Amazon caused a stir in late 2018 with media reports that it had abandoned an AI-powered recruitment tool because it was biased against women. Conceived as a piece of in-house software that could sift through hundreds of CVs at lightspeed and accurately identify the best candidates for any open position, the application had acquired one bad habit: It had come to favor men over women for software developer jobs and other technical roles. It had learned from past data that more men applied for and held these positions, and it now misread male dominance in tech as a reflection of their superiority, not social imbalances.
South Korean startup Seadronix wants to reduce the issue of marine accidents, 75% of which are caused by human error, according to a 2019 Allianz safety and shipping report. The company just secured a $5.8 million Series A extension to scale its AI-based ship berthing monitoring and navigation systems to help cargo ships navigate safely and assist port operators anchoring their vehicles at harbor. The fresh funds, led by SoftBank Ventures Asia, bring Seadronix's the total round up to $8.3 million. Seadronix will use the capital to grow its team beyond the current headcount of 30 employees and enter global markets, including Singapore and Europe, where its "smart ports" are located, Byeolteo Park, CEO and co-founder, said in an interview with TechCrunch. A smart port uses technologies including AI, big data, Internet of Things and 5G to provide more security and save energy by digitalizing the way huge ships enter docks and handle logistics at the ports.