Groupe PSA is rolling out its Autonomous Vehicle for All (AVA) program starting today, with the aim of offering its customers cars equipped with safe, reliable, intuitive and easily accessible autonomous functions. Early driving assistance functions are already available on the latest Peugeot, Citroën and DS models. Automated driving functions will now be rolled out, starting in 2018. From 2020 onwards, new and progressively autonomous functions will offer drivers the possibility of delegating driving to the vehicle without supervision. They will allow the driver to experience his journey differently, without constraints and fatigue, especially in monotonous driving situations. The technology will be accessible to all thanks to simple and intuitive interfaces.To meet these challenges, Groupe PSA is developing:- A new electronic architecture (NEA) – in short, the car’s central nervous system – that guarantees safe operation in all situations, passenger safety and data security. The NEA is ingenious thanks to its modularity and scalability.- Perception technologies serving to reconstruct the vehicle’s environment, backed up by automatic control algorithms integrating artificial intelligence building blocks.Groupe PSA is also actively involved in changes to regulations and standards in response to the arrival of autonomous cars, including approvals and harmonisation of infrastructure.These Innovation Days offer a chance to test level 3 (eyes off) and level 4 (mind off) Groupe PSA’s autonomous demonstrators in real traffic conditions.Participants also test the driving assistance functions that are already fitted to the new Peugeot 3008 and 5008, the Citroën C4 Picasso and SpaceTourer, and which will soon be featured on the DS 7 CROSSBACK.*Automotive World is not responsible for the content of this news release.
What’s different about this autonomous test drive is that it took place not in a prototype but in a model that began selling in Japan last year. It’s a huge bet not just for its manufacturer but for the island nation’s car industry. Nissan and other Japanese automakers have a goal to bring semiautonomous vehicles to city roads by 2020, the same year the Summer Olympics will take place in Tokyo.If Japan’s auto industry misses that opportunity to show off its self-driving prowess, it could fall further behind. Once a colossus that threatened America’s image as the world’s primary industrial superpower, Japan now finds itself flat-footed in the race to develop driverless vehicles. As agile code development has supplanted lean manufacturing as the key ingredient for future cars, Silicon Valley holds a clear advantage.
Work on Ford’s autonomous technologies continues – the company is developing a Fusion self-driving prototype with highly advanced sensors, radars, and software. The Blue oval brand demonstrated what it has achieved so far at the University of Michigan and its Mcity facility.Mcity simulates urban environment which allows Ford to safely test up to Level 4-capable autonomous vehicles in “scenarios like traffic in intersections, pedestrians in crosswalks, different traffic signals, and even bicyclists.” During the demonstration earlier this week, autonomous Fusion prototypes “successfully piloted themselves around the faux city landscape, top speed around 25 miles per hour,” as Automotive News reports.
Autonomous vehicles not only stand to make our lives safer, but could make them a whole lot more convenient as well. One way they could do this is by smoothing traffic flows through cities, and one technology that could play a part in this is a new algorithm developed by researchers in Singapore. The system would see autonomous cars adapt their speed to cross intersections inside a safe “virtual bubble,” without ever needing to come to a stop.The system was developed by a team at Singapore’s Agency for Science, Technology and Research (A*Star) and the thinking is that by employing a mix of smart cruise control with inter-vehicle communications, we can one day do away with traffic lights and give everyone a smoother ride through town.
According to Cook, there are three vectors of change intersecting: autonomous driving, electrification of the auto and ride-sharing. From our thematic investing lens, this is where Disruptive Technologies meet the Connected Society.Cook revealed that his company is focusing on autonomous systems, referring to it as a very important core technology that is probably one of the most difficult AI (Artificial Intelligence) projects to work on. Apple has hired over 1,000 engineers to work on the technology and just this April secured a permit from the California DMV to test three self-driving sports-utility vehicles.The company is clearly also focused on the ride-sharing vector of change, as last year Apple invested $1 billion –
With much of the required hardware, such as high-resolution cameras, radar, sonar and laser-related (LIDAR) 360-degree coverage units, already perfected or approaching perfection, the hardware required for a vehicle to drive itself is basically available. The problem remains getting the many separate puzzle pieces to function together as well as interact with surrounding vehicles and infrastructure.At the heart of the issue is reaching a point where self-driving cars can interact both with other AVs and human-controlled vehicles alike. The industry is nowhere close to achieving this. By some counts, the transition from human-controlled vehicles to all AVs could require 20 to 30 years, during which AVs must be able to detect and interpret the behavior of both.
The Chevy Bolt EV is an affordable, long-range electric car that’s garnered positive reviews, but GM wasn’t willing to stop there. They’ve just completed production on 130 self-driving test Bolt EVs.These aren’t the first autonomous Chevy Bolt EVs that GM has produced. The company has been testing over 50 cars in San Francisco, Scottsdale and Detroit since June 2016, though the self-drive technology on this current crop of Bolts is more advanced. This new fleet of Bolts is notable, though, because it’s the first time a company is using mass production techniques on self-driving vehicles.