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Lyft Motion Prediction for Autonomous Vehicles :2020

#artificialintelligence

The challenge is to predict the movement of traffic agents around the AV, such as cars, cyclists, and pedestrians for 2020. At the same time, the 2019 competition focused on detecting the 3D objects, an important step prior to detecting their movement. Overall this requires quite a unique domain skill comparative to the 2019 problem statement. The dataset consists of 170,000 scenes capturing the environment around the autonomous vehicle. Each scene encodes the state of the vehicle's surroundings at a given point in time. The goal of this competition is to predict other cars/cyclist/pedestrian (called "agent")'s motion.


Hitting the Books: How autonomous EVs could help solve climate change

Engadget

Climate change is far and away the greatest threat of the modern human era -- a crisis that will only get worse the longer we dither -- with American car culture as a major contributor to the nation's greenhouse emissions. But carbon-neutralizing energy and solutions are already on the horizon and, in some more developed countries like Sweden, are already being deployed. In his latest book, Our Livable World, science and technology analyst Marc Shaus, takes readers on a fascinating tour of the emerging tools -- from "smart highways" to jet fuel made from trash -- that will not only help curb climate change but perhaps even usher in a new, more sustainable, livable world. The following excerpt is reprinted from Our Livable World: How Scientists Today Are Creating the Clean Earth of Tomorrow by Marc Shaus. Reprinted with permission of Diversion Books.


The problem with Artificial Intelligence ….. it's artificial

#artificialintelligence

There is a problem with artificial intelligence and that is because it is artificial. No amount of coding can replace human intelligence and more than that, intuition; the ability to see the bigger picture and to make the correct assumptions and decisions from a myriad of factors. Hence the major concerns that the overhyped driverless automobile will never really become a reality. Let us look at a much simpler example, something that happened to me today and that has left me totally frustrated, with the amount of time wasted and the sheer incompetence of the technologists and the lack of understanding of business. A close relative indicated that a certain Apple accessory would be a suitable gift for a coming birthday and given that the closest Apple Store to where I live is some 50 km distant (not to mention all the restrictions relative to the pandemic), I sat myself down to order the item online.


Autotech completes Hong Kong rural AD trial

#artificialintelligence

Technology company Autotech has concluded a two-year research project exploring how autonomous cars handle rural roads around Hong Kong, where the company is based. The Theia AI project, which started in October 2018 in the eastern region of Hong Kong, tested how autonomous vehicles could deal with less inhabited suburban and rural areas. The project involved two key trials. The first saw Autotech create an on-demand and shared car service using autonomous Theia AI electric cars, to provide a link between Lohas Park train station and Kowloon Bay east of the city. The autonomous cars were tested across various operating conditions. The second trial was a shuttle service stopping at predetermined locations around the region.


Showing robots how to drive a car… in just a few easy lessons

Robohub

USC researchers have developed a method that could allow robots to learn new tasks, like setting a table or driving a car, from observing a small number of demonstrations. Imagine if robots could learn from watching demonstrations: you could show a domestic robot how to do routine chores or set a dinner table. In the workplace, you could train robots like new employees, showing them how to perform many duties. On the road, your self-driving car could learn how to drive safely by watching you drive around your neighborhood. Making progress on that vision, USC researchers have designed a system that lets robots autonomously learn complicated tasks from a very small number of demonstrations--even imperfect ones.


Global Big Data Conference

#artificialintelligence

The world of technology moves fast, as Lux Research's annual list of the top technologies to watch over the next decades proves. After a tumultuous 2020, 10 of last year's 20 technologies don't appear on this year's list, showing how dynamic changes in the innovation landscape have been over the past year. Notably, 5G networks, the top-ranked technology in last year's report, are absent from this year's list because, as the 5G rollout begins, they are now firmly established on everyone's radar. The new report, Foresight 2021: Top Emerging Technologies to Watch, identifies and ranks 12 key technologies that will reshape the world. Autonomous vehicles: All levels of vehicle automation are seeing improvements in safety and efficiency, benefiting both consumers and commercial operations.


How Artificial Intelligence Will Impact The Future Of Tech Jobs

#artificialintelligence

Artificial intelligence may seem like something out of a science fiction movie, but it's used in everything from ride-sharing apps to personalized online shopping suggestions. A common concern with artificial intelligence, or AI, is that it will take over jobs as more tasks become automated. Char Sample, a chief research scientist at the Idaho National Laboratory, believes this is likely, but instead of robots serving you lunch, AI may have more of an impact on cybersecurity and other white-collar jobs. "The people who are blue collar jobs that work in service industry, they're probably not going to be as impacted by AI, but the jobs that are more repetitive in nature, like students who are graduating with cybersecurity degrees, some of their early jobs are running scans and auditing systems, those jobs could be replaced." This may have a disproportional effect on jobs in tech hubs, like Salt Lake City.


Driverless car start-up Wayve gets Richard Branson's backing as it targets US rivals

#artificialintelligence

A Cambridge driverless car start-up that has emerged as one of Britain's brightest prospects in the cutting edge sector has secured backing from Sir Richard Branson's Virgin Group as it seeks to accelerate its plans. Wayve Technologies, founded by 28-year-old Alex Kendall with Amar Shah, is building artificial intelligence technology that uses machine learning techniques pioneered by DeepMind to improve self-driving cars. Its latest funding has seen it secure a further $20m (£15m) from current and new investors. According to Mr Kendall, its chief executive, Wayve's technology could leapfrog US giants such as Google's Waymo and Uber. Mr Kendall said: "The incumbents started off the back of DARPA [the US defence agency] challenges in the mid 2000s. I think those challenges set the industry back about 10 years."


What's the big deal about Level 4 autonomous cars?

#artificialintelligence

Self-driving cars have started to wear out their welcome, and they aren't even here yet. Much of the promise and disappointment around them centers on Level 4, one of six levels of technology that allow cars to operate without our input to some degree. I largely agree with former Alphabet Chairman Eric Schmidt's view that "it's a bug that cars were invented before computers." In terms of sheer technical elegance, we never should have been at the controls in the first place. Imagine we hadn't yet invented automobiles.


Two cars, one driver: New Skoda tech to make autonomous car follow a manned one

#artificialintelligence

In another step towards autonomous driving, Skoda Auto has partnered with VSB - Technical University of Ostrava, Czech Republic, to develop new technologies for driving assistance systems. The collaboration between the two parties involve a'Follow the Vehicle' project that aims to have autonomous cars follow a manned lead vehicle. The technology, currently being tested on two correspondingly configured Skoda Superb iVs, has potential for car-sharing service providers, car rental companies or fleet operators. The'Follow the Vehicle' project follows the principle of'two cars, one driver' where the lead vehicle is driven by a human, determining route, speed, lane and other parameters. The autonomous car follows the lead vehicle at a distance of up to ten metres.