The Electric Explorer African Challenge 2018, the first electric vehicle expedition ever across Africa kicked off last week in an effort to build awareness of electric mobility and new, cleaner technologies among the public in Africa.
Contemporary electric vehicles boast a driving range of about 250 kilometers. This is enough to use a car in urban traffic for up to a week or to travel from Cape Town to Swellendam free from range anxiety. In the advanced version, vehicles such as Nissan LEAF make it possible to cover the distance between the UK and Mongolia. In the highly advanced version, an attempt can be made to cross Africa, as planned by Polish travellers Arkady Fiedler and Albert Wójtowicz.
The Electric Explorer African Challenge 2018, the first electric vehicle expedition ever across Africa, commenced at the end of last week.The famous Polish traveler Arkady Paweł Fiedler has taken the wheel, accompanied by Albert Wójtowicz, a photographer and cameraman. The main hero of their unique expedition is the Nissan LEAF. The vehicle is not modified in any way; it is exactly the same as the car you can buy from a showroom.
“Travelling across Africa is probably the hardest test for any vehicle, not only an EV. Poor roads, limited charging infrastructure and dramatically diverse weather conditions – from equatorial storms to the scorching heat of the Sahara – these are just a few challenges that we’ll have to face during the expedition. We’re optimistic anyway. As part of the tests, I’ve already travelled over 4,000 kilometres in Poland in a Nissan LEAF, and I’m positively surprised by the driving range offered,” said Arkady Paweł Fiedler.
The expedition started in Cape Town last week and will lead to Europe, along Western Africa, via South Africa, Namibia, Angola, Democratic Republic of Congo, Congo, Gabon, Cameroon, Nigeria, Benin, Burkina Faso, Mali, Senegal, Gambia, Mauritania and Morocco, and finally across western Europe to Poland.
“The Nissan LEAF is the most popular electric vehicle in the world. The first generation of the model was launched on the market as early as 8 years ago, and Nissan EV drivers have already done more than 3 billion zero-emission kilometres in total. The design tested by hundreds of thousands of drivers can be trusted without hesitation, which I believe will be best proven by the Electric Explorer African Challenge 2018,” adds Dorota Pajączkowska, Nissan PR Manager Poland.
Apart from being the first ever electric vehicle journey across the African continent, the expedition also aims to build awareness of electric mobility and new, cleaner technologies among the public in Africa, Poland, and the world at large. It is also important to show that the way of perceiving the world and human choices, such as the means of transport, have a great impact on our environment.
“Care of the environment, home, family starts with us, with our subjective decisions. The journey is also to prove that often something apparently impossible to do can be achieved given appropriate attitude and determination.”
Owing to the huge challenge of looking for appropriate electric sockets to fill the battery with electricity, which is increasingly less of a problem in Europe year on year, we’ll have to rely on help from people we meet along the way. Without support from Africans, the expedition may fail,” recaps Fiedler.
- Arkady Paweł Fiedler – originator and organiser of the expedition, and driver of the expedition vehicle. Grandson of the outstanding writer and traveller Arkady Fiedler. Passionate for automotive expeditions, producer of travel films, photographer. Originator and organiser of the PoDrodze (On the Way) film-and-travel project. 2009 – Along the Polish Borders in Maluch, 2014 – Across Africa in Maluch (project nominated for the National Geographic TRAVELERYS Award), 2016 – Across Asia in Maluch.
- Albert Wójtowicz – architect by profession, photographer and cameraman by avocation, responsible for video and photo records of the expedition. Photographer of the film and travel project OnTheWay – Across Africa In Maluch 2014 and Across Asia in Maluch 2016.
- Nissan LEAF – the world’s most popular electric vehicle, with more than 300,000 cars manufactured so far. The generation now widely available for sale, powered by a 30 kWh battery, offers a range of up to 250 kilometres (NEDC). September 2017 saw a new release of the model to be launched in Europe in the first half of 2018.
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.