The live demonstration also featured a live showcase of C-V2X direct communication technology operating between passenger cars, motorcycles, and roadside infrastructure. C-V2X is a global solution for vehicle-to-everything (V2X) communication in support of improved automotive safety, automated driving and traffic efficiency.
The demonstration exhibited the road safety and traffic efficiency benefits of using C-V2X for Vehicle-to-Vehicle (V2V) collision avoidance, as well as Vehicle-to-Infrastructure (V2I) connectivity to traffic signals and Traffic Management Centers (TMC). C-V2X was operated using real-time direct communications over ITS spectrum and demonstrated its ability to work without cellular network coverage, and underscores its commercial readiness for industry deployment as early as 2020. Superior performance and cost-effectiveness compared to other V2X technologies, along with forward-compatibility with 5G, make C-V2X direct communications a preferred solution for C-ITS applications.
Six demonstrations were shown including: Emergency Electronic Brake Light, Intersection Collision Warning, Across Traffic Turn Collision Risk Warning, Slow Vehicle Warning and Stationary Vehicle Warning, Signal Phase and Timing / Signal Violation Warning and Vulnerable Road User (pedestrian) Warning. The vehicles involved included two-wheel e-scooters provided by BMW Group, and automotive passenger vehicles provided by Ford, Groupe PSA, and BMW Group, all of which were equipped with C-V2X direct communication technology using the Qualcomm® 9150 C-V2X chipset solution. V2X software stack and application software, along with roadside infrastructure, were provided by industry leader, Savari.
C-V2X is globally supported by a broad automotive ecosystem, which includes the fast growing 5GAA organization. The 5GAA involves over 85 global members comprised of many leading automakers, Tier-1 suppliers, software developers, mobile operators, semiconductor companies, test equipment vendors, telecom suppliers, traffic signal suppliers and road operators.
Cellular modems will be key to the C-V2X deployment in vehicles to support telematics, eCall, connected infotainment and delivering useful driving/traffic/parking information. As C-V2X direct communication functionality is integrated into the cellular modem, C-V2X solutions are expected to be more cost-efficient and economical over competing technologies, and benefit from accelerated attach rates. C-V2X direct communication field validations are currently underway in Germany, France, Korea, China, Japan and the U.S.
C-V2X currently stands as the only V2X technology based on globally recognized 3rd Generation Partnership Project (3GPP) specifications, with ongoing evolution designed to offer forward compatibility with 5G. C-V2X also leverages and reuses the upper layer protocols defined by the automotive industry, including the European Telecommunications Standards Institute (ETSI) organization. C-V2X includes two complementary transmission modes:
- Direct communication as shown in this demonstration for V2V and V2I use cases
- V2N network communication, which leverages mobile operators for connectivity and delivers cloud-based services, including automated crash notification (ACN, as mandated by eCall), hazard warnings, weather conditions, green light optimal speed advisory (GLOSA), parking spot location, and remote tele-operation to support automated driving, to name a few.
“This demonstration builds on the successful C-V2X showcase we organised with our members Audi, Ford and Qualcomm in Washington DC in April, said Christoph Voigt, Chairman of 5GAA.
“We are excited to witness the growing momentum behind this life-saving technology and to see our members working together to deploy C-V2X, and to make it hit the road as soon as possible.”
“The BMW Group introduced the first C-ITS use cases already in 2013 with the market introduction of the BMW i3. Today most of envisaged C-ITS use-cases are already institutionalized. With the implementation of C-V2X, the BMW Group accomplishes the last set of the puzzle with a practical path to C-ITS showing quick benefits,” said Christoph Grote, Senior Vice President Electronics, BMW Group.
“With its ability to safely and securely connect vehicles, along with its evolution into 5G, C-V2X is integral to Ford’s vision for future transportation in which all cars and infrastructure talk to each other,” said Thomas Lukaszewicz, Manager Automated Driving, Ford of Europe. “We are very encouraged by preliminary test results in Europe and elsewhere which support our belief that C-V2X direct communications has superior V2X communication capabilities.”
“We’re moving forward with seamless communication between cars and their environment for enhancing road safety, as well as our customers’ safety,” said Carla Gohin, Group PSA’s Vice President for Research and Advanced Engineering. “Following the first European C-V2X direct communications demonstration we hosted with Qualcomm Technologies last March, we’re pleased to work with leading automotive and technology companies today to highlight that C-V2X interoperability is a reality.”
“This demonstration of interoperability between multiple automakers is not only another milestone achieved towards C-V2X deployment, but also further validates the commercial viability and global compatibility of C-V2X direct communications for connected vehicles,” said Enrico Salvatori, senior vice president & president, Qualcomm Europe and MEA. “We look forward in continuing to work alongside leaders in the automotive industry, like the 5GAA, BMW Group, Ford, Groupe PSA and Savari, to help advance the automotive industry’s shift towards a safer, connected and more autonomous future.”
“As one of the V2X pioneers, our company is extremely pleased to continue to help enable the next step in the V2X revolution that we helped start back in 2008,” said Ravi Puvvala, CEO of Savari. “For the last year and a half, the Savari team has worked diligently alongside the dedicated C-V2X engineers in the 5GAA partnership. The resulting string of increasingly impressive demonstrations is continuing to convince the world that C-V2X will soon be deployed around the world.”
Project Bloodhound saved
The British project to break the world landspeed record at a site in the Northern Cape has been saved by a new backer, after it went into bankruptcy proceedings in October.
Two weeks ago, and two months after entering voluntary administration, the Bloodhound Programme Limited announced it was shutting down. This week it announced that its assets, including the Bloodhound Supersonic Car (SSC), had been acquired by an enthusiastic – and wealthy – supporter.
“We are absolutely delighted that on Monday 17th December, the business and assets were bought, allowing the Project to continue,” the team said in a statement.
“The acquisition was made by Yorkshire-based entrepreneur Ian Warhurst. Ian is a mechanical engineer by training, with a strong background in managing a highly successful business in the automotive engineering sector, so he will bring a lot of expertise to the Project.”
Warhurst and his family, says the team, have been enthusiastic Bloodhound supporters for many years, and this inspired his new involvement with the Project.
“I am delighted to have been able to safeguard the business and assets preventing the project breakup,” he said. “I know how important it is to inspire young people about science, technology, engineering and maths, and I want to ensure Bloodhound can continue doing that into the future.
“It’s clear how much this unique British project means to people and I have been overwhelmed by the messages of thanks I have received in the last few days.”
The record attempt was due to be made late next year at Hakskeen Pan in the Kalahari Desert, where retired pilot Andy Green planned to beat the 1228km/h land-speed record he set in the United States in 1997. The target is for Bloodhound to become the first car to reach 1000mph (1610km/h). A track 19km long and 500 metres wide has been prepared, with members of the local community hired to clear 16 000 tons of rock and stone to smooth the surface.
The team said in its announcement this week: “Although it has been a frustrating few months for Bloodhound, we are thrilled that Ian has saved Bloodhound SSC from closure for the country and the many supporters around the world who have been inspired by the Project. We now have a lot of planning to do for 2019 and beyond.”
Motor Racing meets Machine Learning
The futuristic car technology of tomorrow is being built today in both racing cars and
toys, writes ARTHUR GOLDSTUCK
The car of tomorrow, most of us imagine, is being built by the great automobile manufacturers of the world. More and more, however, we are seeing information technology companies joining the race to power the autonomous vehicle future.
Last year, chip-maker Intel paid $15.3-billion to acquire Israeli company Mobileye, a leader in computer vision for autonomous driving technology. Google’s autonomous taxi division, Waymo, has been valued at $45-billion.
Now there’s a new name to add to the roster of technology giants driving the future.
Amazon Web Services, the world’s biggest cloud computing service and a subsidiary of Amazon.com, last month unveiled a scale model autonomous racing car for developers to build new artificial intelligence applications. Almost in the same breath, at its annual re:Invent conference in Las Vegas, it showcased the work being done with machine learning in Formula 1 racing.
AWS DeepRacer is a 1/18th scale fully autonomous race car, designed to incorporate the features and behaviour of a full-sized vehicle. It boasts all-wheel drive, monster truck tires, an HD video camera, and on-board computing power. In short, everything a kid would want of a self-driving toy car.
But then, it also adds everything a developer would need to make the car autonomous in ways that, for now, can only be imagined. It uses a new form of machine learning (ML), the technology that allows computer systems to improve their functions progressively as they receive feedback from their activities. ML is at the heart of artificial intelligence (AI), and will be core to autonomous, self-driving vehicles.
AWS has taken ML a step further, with an approach called reinforcement learning. This allows for quicker development of ML models and applications, and DeepRacer is designed to allow developers to experiment with and hone their skill in this area. It is built on top of another AWS platform, called Amazon SageMaker, which enables developers and data scientists to build, train, and deploy machine learning quickly and easily.
Along with DeepRacer, AWS also announced the DeepRacer League, the world’s first global autonomous racing league, open to anyone who orders the scale model from AWS.
As if to prove that DeepRacer is not just a quirky entry into the world of motor racing, AWS also showcased the work it is doing with the Formula One Group. Ross Brawn, Formula 1’s managing director of Motor Sports, joined AWS CEO Andy Jassy during the keynote address at the re:Invent conference, to demonstrate how motor racing meets machine learning.
“More than a million data points a second are transmitted between car and team during a Formula 1 race,” he said. “From this data, we can make predictions about what we expect to happen in a wheel-to-wheel situation, overtaking advantage, and pit stop advantage. ML can help us apply a proper analysis of a situation, and also bring it to fans.
“Formula 1 is a complete team contest. If you look at a video of tyre-changing in a pit stop – it takes 1.6 seconds to change four wheels and tyres – blink and you will miss it. Imagine the training that goes into it? It’s also a contest of innovative minds.”
Formula 1 racing has more than 500 million global fans and generated $1.8 billion in revenue in 2017. As a result, there are massive demands on performance, analysis and information.
During a race, up to 120 sensors on each car generate up to 3GB of data and 1 500 data points – every second. It is impossible to analyse this data on the fly without an ML platform like Amazon SageMaker. It has a further advantage: the data scientists are able to incorporate 65 years of historical race data to compare performance, make predictions, and provide insights into the teams’ and drivers’ split-second decisions and strategies.
This means Formula 1 can pinpoint how a driver is performing and whether or not drivers have pushed themselves over the limit.
“By leveraging Amazon SageMaker and AWS’s machine-learning services, we are able to deliver these powerful insights and predictions to fans in real time,” said Pete Samara, director of innovation and digital technology at Formula 1.