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I don’t have to open the doors of AImotive’s white 2015 Prius to see that it’s not your average car. This particular Prius has been christened El Capitan, the name written below the rear doors, and two small cameras are mounted on top of the car. Bundles of wire snake out from them, as well as from the two additional cameras on the car’s hood and trunk.
Inside is where things really get interesting, though. The trunk holds a computer the size of a microwave, and a large monitor covers the passenger glove compartment and dashboard. The center console has three switches labeled “Allowed,” “Error,” and “Active.”
Budapest-based AImotive is working to provide scalable self-driving technology alongside big players like Waymo and Uber in the autonomous vehicle world. On a highway test ride with CEO Laszlo Kishonti near the company’s office in Mountain View, California, I got a glimpse of just how complex that world is.
Camera-Based Feedback System
AImotive’s approach to autonomous driving is a little different from that of some of the best-known systems. For starters, they’re using cameras, not lidar, as primary sensors. “The traffic system is visual and the cost of cameras is low,” Kishonti said. “A lidar can recognize when there are people near the car, but a camera can differentiate between, say, an elderly person and a child. Lidar’s resolution isn’t high enough to recognize the subtle differences of urban driving.”
Image Credit: AImotive
The company’s aiDrive software uses data from the camera sensors to feed information to its algorithms for hierarchical decision-making, grouped under four concurrent activities: recognition, location, motion, and control.
Kishonti pointed out that lidar has already gotten more cost-efficient, and will only continue to do so.
“Ten years ago, lidar was best because there wasn’t enough processing power to do all the calculations by AI. But the cost of running AI is decreasing,” he said. “In our approach, computer vision and AI processing are key, and for safety, we’ll have fallback sensors like radar or lidar.”
aiDrive currently runs on Nvidia chips, which Kishonti noted were originally designed for graphics, and are not terribly efficient given how power-hungry they are. “We’re planning to substitute lower-cost, lower-energy chips in the next six months,” he said.
Testing in Virtual Reality
Waymo recently announced its fleet has now driven four million miles autonomously. That’s a lot of miles, and hard to compete with. But AImotive isn’t trying to compete, at least not by logging more real-life test miles. Instead, the company is doing 90 percent of its testing in virtual reality. “This is what truly differentiates us from competitors,” Kishonti said.
He outlined the three main benefits of VR testing: it can simulate scenarios too dangerous for the real world (such as hitting something), too costly (not every company has Waymo’s funds to run hundreds of cars on real roads), or too time-consuming (like waiting for rain, snow, or other weather conditions to occur naturally and repeatedly).
“Real-world traffic testing is very skewed towards the boring miles,” he said. “What we want to do is test all the cases that are hard to solve.”
On a screen that looked not unlike multiple games of Mario Kart, he showed me the simulator. Cartoon cars cruised down winding streets, outfitted with all the real-world surroundings: people, trees, signs, other cars. As I watched, a furry kangaroo suddenly hopped across one screen. “Volvo had an issue in Australia,” Kishonti explained. “A kangaroo’s movement is different than other animals since it hops instead of running.” Talk about cases that are hard to solve.
AImotive is currently testing around 1,000 simulated scenarios every night, with a steadily-rising curve of successful tests. These scenarios are broken down into features, and the car’s behavior around those features fed into a neural network. As the algorithms learn more features, the level of complexity the vehicles can handle goes up.
On the Road
After Kishonti and his colleagues filled me in on the details of their product, it was time to test it out. A safety driver sat in the driver’s seat, a computer operator in the passenger seat, and Kishonti and I in back. The driver maintained full control of the car until we merged onto the highway. Then he flicked the “Allowed” switch, his copilot pressed the “Active” switch, and he took his hands off the wheel.
What happened next, you ask?
A few things. El Capitan was going exactly the speed limit—65 miles per hour—which meant all the other cars were passing us. When a car merged in front of us or cut us off, El Cap braked accordingly (if a little abruptly). The monitor displayed the feed from each of the car’s cameras, plus multiple data fields and a simulation where a blue line marked the center of the lane, measured by the cameras tracking the lane markings on either side.
I noticed El Cap wobbling out of our lane a bit, but it wasn’t until two things happened in a row that I felt a little nervous: first we went under a bridge, then a truck pulled up next to us, both bridge and truck casting a complete shadow over our car. At that point El Cap lost it, and we swerved haphazardly to the right, narrowly missing the truck’s rear wheels. The safety driver grabbed the steering wheel and took back control of the car.
What happened, Kishonti explained, was that the shadows made it hard for the car’s cameras to see the lane markings. This was a new scenario the algorithm hadn’t previously encountered. If we’d only gone under a bridge or only been next to the truck for a second, El Cap may not have had so much trouble, but the two events happening in a row really threw the car for a loop—almost literally.
“This is a new scenario we’ll add to our testing,” Kishonti said. He added that another way for the algorithm to handle this type of scenario, rather than basing its speed and positioning on the lane markings, is to mimic nearby cars. “The human eye would see that other cars are still moving at the same speed, even if it can’t see details of the road,” he said.
After another brief—and thankfully uneventful—hands-off cruise down the highway, the safety driver took over, exited the highway, and drove us back to the office.
Driving into the Future
I climbed out of the car feeling amazed not only that self-driving cars are possible, but that driving is possible at all. I squint when driving into a tunnel, swerve to avoid hitting a stray squirrel, and brake gradually at stop signs—all without consciously thinking to do so. On top of learning to steer, brake, and accelerate, self-driving software has to incorporate our brains’ and bodies’ unconscious (but crucial) reactions, like our pupils dilating to let in more light so we can see in a tunnel.
Despite all the progress of machine learning, artificial intelligence, and computing power, I have a wholly renewed appreciation for the thing that’s been in charge of driving up till now: the human brain.
Kishonti seemed to feel similarly. “I don’t think autonomous vehicles in the near future will be better than the best drivers,” he said. “But they’ll be better than the average driver. What we want to achieve is safe, good-quality driving for everyone, with scalability.”
AImotive is currently working with American tech firms and with car and truck manufacturers in Europe, China, and Japan.
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Amazon's launch in Australia today is likely to put fresh scrutiny on the speed of Australia Post's own deliveries. To that end, Australia Post is trialling the use of robots to deliver parcels more promptly. Continue reading
Tech-Link Healthcare Systems partners with Blue Ocean Robotics Introducing UV-Disinfection Robot
Singapore, 1 November 2016 – The rise of robots have steered Tech-Link Healthcare Systems, a design and integrator of healthcare automation systems to offer solutions beyond automated storage and material handling systems. With a vision of providing holistic solutions for healthcare organisations, Tech-Link extends its capabilities by offering UV disinfection robot solutions via a strategic partnership with Danish robotics company, Blue Ocean Robotics to battle against Hospital Acquired Infections (HAIs).Singapore’s labour intensive healthcare environment and the unknown impact of HAIs in the developed city-state had beckoned Tech-Link Healthcare Systems to offer solutions in the area of disinfection. We recognised the rise in demand for robots to collaborate with humans and have identified this need for customers. Introducing robotic technologies as part of our suite of solutions is the company’s mission to innovate the way healthcare organisations work and enhance their customers’ experience.Tech-Link’s partnership with Blue Ocean Robotics affirms both companies’ efforts in reaching out to new markets with technology and solutions to ease manpower crunch, deliver greater value and improve the quality of healthcare services. As an official sales partner, we bring together Blue Ocean Robotics’ expertise in automating disinfection procedures to promote safer, efficient and more productive work environment.
“Tech-Link looks forward to developing reliable healthcare solutions with hardware and latest technologies from Blue Ocean Robotics for our customers in Singapore and abroad.” said Director of Tech-Link Healthcare Systems, Tan Hock Seng. “Our similar beliefs in the Blue Ocean strategy synergise the collaboration to improve the quality of healthcare services through robotics.” he added.“We are very excited about our new sales partner Tech-Link Healthcare Systems, since it is of great importance for Blue Ocean Robotics to expand our sales of new technologies beyond Denmark’s borders. Blue Ocean Robotics focuses on creating new markets for robots. This includes both the development of new technologies and the creation of new markets for revolutionary robot solutions. We welcome Tech-Link Healthcare Systems with open arms and look forward to a fruitful collaboration in the years ahead.” said Claus Risager, Rune K. Larsen & John Erland Østergaard, Partners and Co-CEOs, Blue Ocean Robotics.
UV-Disinfection RobotThe UV-Disinfection Robot – also called UV-DR – is an autonomous disinfection robot for hospitals, production lines and pharmaceutical companies. The robot is used primarily in, but not limited to the cleaning cycle with the aim of reducing spread of HAIs, infectious diseases, viruses, bacteria and other types or harmful organic materials.UV-DR is a mobile robot that can drive autonomously while emitting concentrated UV-C light onto pre-defined infectious hotspots in patient rooms and other hospital environments, thus disinfecting and killing bacteria and virus on all exposed surfaces. An exposure time of ten minutes is estimated to kill up to 99% of bacteria such as Clostridium Difficile.
About Tech-Link Healthcare Systems Pte LtdTech-Link Healthcare Systems is a subsidiary of Tech-Link Storage Engineering established in Singapore since 2015. The company designs and provides innovative solutions for the healthcare sector, focusing on advanced and emerging solutions to support healthcare organisations in optimising available resources and services. Tech-Link Healthcare Systems design and implement automated material handling systems to enhance secured material transport and logistics storage management in hospitals and other healthcare facilities. As a complete solution provider, the company also provides consultancy in systems design to streamline and automate processes as well as integrated video solutions within healthcare facilities.About Tech-Link Storage Engineering Pte LtdTech-Link Storage Engineering is a group of companies established in Singapore with more than 25 years of principal activities in procurement, manufacturing and marketing of storage, distribution and materials handling products and systems. From its domain expertise in storage and racking systems, Tech-Link is also involved in R&D, system design, supply and implementation of logistics supply chain automation systems. The business expanded its global capabilities in the area of planning and consultancy to provide solutions for Built-to-Suit industrial developments and Healthcare logistics systems.
Tech-Link is an ISO 9001:2008 and OHSAS 18001:2007 certified company for Quality Management System and Occupational, Health and Safety System.Visit www.techlinkstorageengineering.comAbout Blue Ocean RoboticsBlue Ocean Robotics is an international company group with presence across the globe including America, Europe, Asia and Australia. The robotics company has its headquarter in the city of Odense (www.odenserobotics.dk) in Denmark. Blue Ocean Robotics applies robot technology to create solutions and innovation for end-users and new businesses in partnerships.Visit www.blue-ocean-robotics.com
Here is a video showing the robot in action:
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