Continental has showcased its “Cruising Chauffeur”, an self-driving car platform which provides an insight into the company’s vision of the future of what it calls “highly automated driving” on highways.
Highly automated driving on highways is no longer just a dream, says the company, but now a reality.
Level 0 – No Automation: The full-time performance by the human driver of all aspects of the dynamic driving task, even when enhanced by warning or intervention systems.
Level 1 – Driver Assistance: The driving mode-specific execution by a driver assistance system of either steering or acceleration/deceleration using information about the driving environment and with the expectation that the human driver performs all remaining aspects of the dynamic driving task.
Level 2 – Partial Automation: The driving mode-specific execution by one or more driver assistance systems of both steering and acceleration/deceleration using information about the driving environment and with the expectation that the human driver performs all remaining aspects of the dynamic driving task.
Level 3 – Conditional Automation: The driving mode-specific performance by an Automated Driving System of all aspects of the dynamic driving task with the expectation that the human driver will respond appropriately to a request to intervene.
Level 4 – High Automation: The driving mode-specific performance by an Automated Driving System of all aspects of the dynamic driving task, even if a human driver does not respond appropriately to a request to intervene.
Level 5 – Full Automation: The full-time performance by an Automated Driving System of all aspects of the dynamic driving task under all roadway and environmental conditions that can be managed by a human driver.
One of the world’s largest automotive suppliers, Bosch, provided a massive stage today for Nvidia CEO Jen-Hsun Huang to showcase its new artificial intelligence platform for self-driving cars.
Speaking in the heart of Berlin to several thousand attendees at Bosch Connected World — an annual conference dedicated to the Internet of Things — Huang detailed how deep learning is fueling an AI revolution in the auto industry.
Jonathan Wilkins, marketing director of obsolete components supplier, EU Automation explains how cloud computing can help both manufacturers and owners make the most of their vehicle
Today, we consider wireless connectivity and parking assist to be standard features in new models of car.
However, roll back 50 years and it was a different story; there was much less technology of any kind in most vehicles.
The three-point seatbelt didn’t become standard until 1970 and airbags weren’t mandatory until 1998. With cloud computing on the rise, we’re seeing more high-tech features being added to vehicles than ever.
Autonomous cars are the wave of the future, with more models released every year. These cars typically feature either a full auto pilot or driver assistance systems designed to make the ride safer and smoother.
Most of the technology we think of as autonomous or self-driving is already implemented in new cars as advanced driver assistance systems. These systems, like cruise control, lane sensing, blind spot alerts and more are all pieces of the self-driving car puzzle, found in most new car models.
While everyone seems fascinated by driverless cars brought to us via Silicon Valley, established suppliers of advanced driver assistance systems are quietly doing a roaring trade
The automotive industry is going through some fundamental changes, mostly because of computer technology.
The changes include higher levels of computer processing, fully driverless vehicles, greater levels of autonomy, internet connectivity, and the switch from petrol-powered combustion engines to electric.
It’s probably inevitable that the combustion engine will be gone from most mass-manufactured cars within a couple of decades, and will eventually only be seen in antique cars and supercars, although even some supercars are going electric.
Ansible Motion develops driving simulators for autonomous car engineering, but with one important additional component — the human driver
The interest in, and momentum assigned to, the introduction of autonomous cars may appear substantial to anyone catching articles in the media.
We can certainly find plenty of aspirational images of happy people reading books or watching films whilst travelling down the motorway. Excellent. But our lovely ‘digital living space’ will require substantial validation before we get down that road.
With hundreds of (computer) processors and sensors required to offer even simple driver assistance systems, signing off a fully autonomous car with any level of confidence is not going to be an easy assignment for vehicle manufacturers. And that sign off is going to need some human involvement. Continue reading The role of humans in the testing of autonomous cars
From Nasa mission control to the driver’s seat: an interview with the alien technology developer shaping the future of autonomous driving for Nissan
Space was not the final frontier for computer scientist Maarten Sierhuis.
The former Nasa scientist, who once designed human-robot interactions and developed collaborative intelligent systems for space exploration, now focuses his efforts a bit closer to home: the artificial intelligence that’s helping power the future of Nissan’s autonomous vehicles.