This article is part of a VB Lab Insight series paid for by Plus. Breaking away from the competition, Plus, a Silicon Valley-based provider of autonomous trucking technology, is taking an innovative driver-in approach to commercialization that aligns with the critical challenges facing the trucking industry today. According to newly-released estimates of traffic fatalities in 2021, crashes involving at least one large truck increased 13% compared to the previous year. With a nationwide truck driver shortage estimated at 80,000 last year and growing, PlusDrive, Plus's market-ready supervised autonomous driving solution, helps long-haul operators reduce stress while improving safety for all road users. In 2021 Plus achieved a critical industry milestone, becoming the first self-driving trucking technology company to deliver a commercial product to the hands of customers.
Self-driving car startup Minus Zero has raised $1.7 million in seed round led by Chiratae Ventures. The company plans to get its first vehicle on the road by late 2022 to early 2023. The Bengaluru-based startup uses a combination of camera-based vision and algorithms for its self-driving solution. Minus Zero -- India's first startup building affordable fully self-driving cars in India -- has raised $1.7 million in seed round led by Chiratae Ventures. JITO Angel Network, a few senior executives from American chipmaker NVIDIA and US-based ride hailing service Lyft that competes with Uberalso participated in the round.
For an autonomous car to drive safely, being able to predict the behavior of other road users is essential. A research team at the Massachusetts Institute of Technology's CSAIL, along with researchers at the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University in Beijing, have developed a new ML system that could one day help driverless cars predict in real time the upcoming movements of nearby drivers, cyclists and pedestrians. They titled their study, " M2I: From Factored Marginal Path Prediction to Interactive Prediction." Qiao Sun, Junru Gu, Hang Zhao are the IIIS members who participated in this study while Xin Huang and Brian Williams represented MIT. Humans are unpredictable, which makes predicting road user behavior in urban environments de facto very difficult.
Many Americans might not realize that driverless tractor-trailers are currently navigating the nation's highways, hitting the open road with absolutely nobody behind the wheel. Many of us have ridden in a smaller car -- like a Tesla -- that has a driverless feature, but to be in a large freight truck that is maneuvering through cities and highways is a completely different ballgame. It's the future of the industry, but the future is already here. Autonomous driving technology company TuSimple was founded in San Diego in 2015 with a mission to improve the safety and efficiency of the trucking industry. TuSimple is a developer of heavy-duty, self-driving trucks and the autonomous startup has already created a freight network along the Sun Belt from Phoenix to Houston.
An important use for computer vision and deep learning is self driving cars. Perception and Computer Vision forms about 80% of the work that Self Driving Cars do to drive around. If you want to improve your deep learning skills, this is a great topic to learn about. We just published a deep learning course on the freeCodeCamp.org Sakshay is a machine learning engineer and an excellent teacher.
You could soon see self-driving buses and delivery vans on UK roads as the government launches a £40m ($50m) competition to bring this technology to the market. The funding to kick-start commercial self-driving services, such as delivery vehicles and passenger shuttles, will help bring together companies and investors so that sustainable business models to be rolled out nationally and exported globally. The Commercialising Connected and Automated Mobility competition will provide grants to help roll out commercial use self-driving vehicles across the UK from 2025. Types of self-driving vehicles that could be deployed include delivery vans, passenger buses, shuttles and pods, as well as vehicles that move people and luggage at airports and containers at shipping ports. The competition aims to unlock a new industry that could be worth £42bn to the UK economy by 2035, potentially creating 38,000 new skilled jobs.
Advances in robotics mean autonomous vehicles, industrial robots and medical robots will be more capable, independent and pervasive over the next 20 years. Eventually, these autonomous machines could make decision-making errors that lead to hundreds of thousands of deaths, which could be avoided if humans were in the loop. Such a future is reasonably frightening but more lives would be saved than lost if society adopts robotic technologies responsibly. Robots aren't "programmed" by humans to mimic human decision-making; they learn from large datasets to perform tasks like "recognize a red traffic light" using complex mathematical formulas induced from data. This machine learning process requires much more data than humans need. However, once trained, robots would outperform humans in any given task and AI and robotics have dramatically improved their performance over the past five years through machine learning.
British startup Wayve said on Wednesday it will use supercomputer infrastructure designed for the firm by its investor Microsoft to process vast amounts of data as it develops machine learning-based models for self-driving cars. Wayve's technology relies on machine learning using camera sensors fitted on the outside of the vehicle, where the system learns from traffic patterns and the behaviour of other drivers, instead of the conventional method of relying on detailed digital maps and coding to tell vehicles how to operate. "Microsoft is providing supercomputing muscle," Wayve Chief Executive Alex Kendall told Reuters. "What we're looking to do goes beyond the bounds of what's possible for commercial cloud offerings today." Kendall said Microsoft will be able to process the terabyte of data - 1 trillion bytes, or equivalent to around an hour of consumer video - that Wayve's cars generate every minute.