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Behind the scenes of Waymo's worst automated truck crash – TechCrunch - Channel969


Probably the most critical crash thus far involving a self-driving truck may need resulted in solely average accidents, but it surely uncovered how unprepared native authorities and legislation enforcement are to take care of the brand new expertise. On Might 5, a Class 8 Waymo By way of truck working in autonomous mode with a human security operator behind the wheel was hauling a trailer northbound on Interstate 45 towards Dallas, Texas. At 3:11 p.m., simply outdoors Ennis, the modified Peterbilt was touring within the far proper lane when a passing truck and trailer combo entered its lane. The motive force of the Waymo By way of truck informed police that the opposite semi truck continued to maneuver into the lane, forcing Waymo's truck and trailer off the roadway. She was later taken to a hospital for accidents that Waymo described in its report back to the Nationwide Freeway Visitors Security Administration as "average."

Open-sourcing simulators for driverless cars


"You put a car on the road which may be driving by the letter of the law, but compared to the surrounding road users, it's acting very conservatively. This can lead to situations where the autonomous car is a bit of a fish out of water," said Motional's Karl Iagnemma. Autonomous vehicles have control systems that learn how to emulate safe steering controls in a variety of situations based on real-world datasets of human driving trajectories. However, it is extremely hard to program the decision-making process given the infinite possible scenarios on real roads. Meanwhile, real-world data on "edge cases" (such as nearly crashing or being forced off the road) are hard to come by.

3D Machine Learning 201 Guide: Point Cloud Semantic Segmentation


Having the skills and the knowledge to attack every aspect of point cloud processing opens up many ideas and development doors. It is like a toolbox for 3D research creativity and development agility. And at the core, there is this incredible Artificial Intelligence space that targets 3D scene understanding. It is particularly relevant due to its importance for many applications, such as self-driving cars, autonomous robots, 3D mapping, virtual reality, and the Metaverse. And if you are an automation geek like me, it is hard to resist the temptation to have new paths to answer these challenges! This tutorial aims to give you what I consider the essential footing to do just that: the knowledge and code skills for developing 3D Point Cloud Semantic Segmentation systems. But actually, how can we apply semantic segmentation? And how challenging is 3D Machine Learning? Let me present a clear, in-depth 201 hands-on course focused on 3D Machine Learning.

Three opportunities of Digital Transformation: AI, IoT and Blockchain


Koomey's law This law posits that the energy efficiency of computation doubles roughly every one-and-a-half years (see Figure 1–7). In other words, the energy necessary for the same amount of computation halves in that time span. To visualize the exponential impact this has, consider the face that a fully charged MacBook Air, when applying the energy efficiency of computation of 1992, would completely drain its battery in a mere 1.5 seconds. According to Koomey's law, the energy requirements for computation in embedded devices is shrinking to the point that harvesting the required energy from ambient sources like solar power and thermal energy should suffice to power the computation necessary in many applications. Metcalfe's law This law has nothing to do with chips, but all to do with connectivity. Formulated by Robert Metcalfe as he invented Ethernet, the law essentially states that the value of a network increases exponentially with regard to the number of its nodes (see Figure 1–8).

The Safest New Cars of 2022 - Kelley Blue Book


Why publish a list of our picks for the best new cars that are the safest? Don't confuse "safe" with "safer." Manufacturers make vehicles that are safer than those from 10 years ago, for sure. However, some are safer than others. Both organizations put new car models through a battery of crash and safety tests, scoring each for the degree of protection they provide for occupants. If you choose a car on this list, you can be assured you will likely survive a crash, but in many cases avoid it altogether. We pulled together a collection of the best 2022 models made the safest for you to drive and what earns them that distinction. In a nutshell, these car models go above and beyond government-mandated safety features and manufacturer norms. Read on to learn more. What we looked for were cars with perfect scores in both IIHS and NHTSA testing. With those in hand, we narrowed the field among the trim levels within each model based on standard and available active safety features such as forward collision warning with automatic emergency braking. Several safety features we've grown accustomed to are actually government-mandated. In other words, the federal government made them standard by law. These include antilock brakes, stability control, traction control, rearview cameras, tire pressure monitors, and so forth.



The graph represents a network of 1,695 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 22 June 2022 at 12:38 UTC. The requested start date was Wednesday, 22 June 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 16-day, 17-hour, 23-minute period from Sunday, 05 June 2022 at 02:45 UTC to Tuesday, 21 June 2022 at 20:08 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

The Go-To-Market Strategy For Autonomous Vehicles: "Launch Somewhere"


ENGLAND: Two autonomous, delivery robots pass on the pavement as they make home deliveries of ... [ ] groceries. Created by two of the co-founders of Skype in 2014, Starship has developed the self-driving pods for various, logistical tasks. Much more complicated than originally thought. Several manufacturers expected the first self-driving cars to hit the market 3-4 years ago. In fact, Johann Jungwirth of Volkswagen met with Focus Magazine in April of 2016 amongst beanbags, blue suede shoes and skateboards to report the first autonomous vehicles (AVs) will be on the market by 2019.

This self-driving car remembers the past using neural networks - Dataconomy


Researchers at Cornell University have developed a technique to assist self-driving cars in recalling past events and utilize them as references while navigating, especially in bad weather when the vehicle's sensors cannot be trusted. On cars, normally, artificial neural networks are not concerned with memory from the past, and they always act like seeing the world for the first time. They have no recollection of previous drives down that road. This is not the only initiative towards developing self-driving vehicles, roboticists pushed an off-road car to the limits to gather data for self-driving ATVs, recently. The researchers have worked on three synchronous papers to address this problem. Two are going to be presented at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022), which will take place June 19-24 in New Orleans.

China's Jidu Robo-1 Looks Like It's From the Future. Maybe It Is


Baidu has a Google-like grip on China's internet industry, bringing in billions each year through search advertising, cloud computing, and other online services. But its ambitions extend even further than Alphabet's--and include shaking up the car industry. Today in Beijing, Jidu, an automotive company recently created by Baidu and the Chinese automaker Geely, unveiled a prototype of its first vehicle, a futuristic-looking, largely autonomous hatchback called Robo-1. The company says it will cost at least the equivalent of $30,000, and is expected to go on sale next year. The Robo-1 is sleek and angular, with doors that swing upwards at the front and open backwards at the rear.

What's going on with self-driving cars right now?

#artificialintelligence is the latest autonomous car company to make headlines for the wrong reasons. It has just lost its permit to test its fleet of autonomous vehicles in California over concerns about the driving record of the safety drivers it employs. It's a big blow for the company, and highlights the interesting spot the autonomous car industry is in right now. After a few years of very bad publicity, a number of companies have made real progress in getting self-driving cars on the road. If you're curious about what and some of the other major outfits are up to, here's a handy alphabetized guide to some of the key firms working on autonomous vehicles.