Conventional wisdom on self-driving used to go like this: A smart tech company, like Google's Waymo, writes the self-driving software. Today, Lyft announced it's getting into the self-driving business, launching its own unit to build autonomous vehicle software and hardware. Until today, Lyft's strategy seemed to hinge on hopping between carmakers like General Motors and tech companies like Waymo, striking deals that would put autonomous vehicles on the Lyft platform. Now lots of hardware companies use Android as their operating systems, and Google phones are still around.
Earlier this year Apple's chief executive Tim Cook has confirmed that the company is working on software for self-driving cars for the first time. The intentions of Apple's move into driverless car technology, codenamed Project Titan, changed last year when the company stopped working on its own car to develop self-driving AI that could be fitted into other vehicles. While Apple had not formally announced plans to build self-driving technology before, the company's interest was confirmed earlier this year when it was granted a permit to test the vehicles. California's state Department of Motor Vehicles announced that Apple officially secured a permit to test autonomous vehicles in the state on April 14.
Lyft also described its vision for where its service is eventually headed: A hybrid fleet, in which some Lyft rides are driven by people and others driven by machine. The service plans to create an open platform that will allow autonomous cars from partner firms, like GM, Waymo, nuTonomy, and others, to incorporate their own technology and vehicles into the Lyft ecosystem. That partnership-focused approach was reported by The New York Times in June, and a collaboration between Lyft and Waymo (the self-driving car outfit that's part of Google's parent company, Alphabet) was first made public in May. Uber is the elephant in the ride-sharing space, and is much bigger than Lyft--Uber does about 10 million rides a day, a company spokesperson said, while Lyft recently announced that they do more than a million daily.
Lyft Inc has formed a self-driving car division, company executives said, a bold investment for the second-largest U.S. ride-services firm as it jockeys for position in the highly competitive autonomous vehicle race. Lyft Inc has formed a self-driving car division, company executives said, a bold investment for the second-largest U.S. ride-services firm as it jockeys for position in the highly competitive autonomous vehicle race Waymo and Lyft are joining forces against ridesharing giant Uber, which is racing to develop its own self-driving vehicles. Lyft previously announced partnerships with Alphabet's self-driving division, Waymo, technology company Nutonomy, and automakers General Motors Co and Jaguar Land Rover. Lyft previously announced partnerships with Alphabet's self-driving division, Waymo, technology company Nutonomy, and automakers General Motors Co and Jaguar Land Rover On July 19, a House panel backed legislation designed to allow automakers to increase the testing of self-driving cars on U.S. roads.
"This is too strategic an area for us not to be a player," said Luc Vincent, the Google Street View creator who now serves as Lyft's vice president of autonomony. Former Google Street View expert Luc Vincent will guide Lyft's new autonomous car team. Anthony Levandowski, a former Google car engineer who departed to start self-driving truck company Otto, became Uber's head of autonomous programs when Uber bought Otto last year. Kapoor and his colleagues were vague when asked what specific hardware, including LiDAR, Lyft's new team planned to develop.
With the assistance of its human handlers, the Human Support Robot, as Toyota calls it, wheeled into Camargo's home on a mission: to support the quadriplegic veteran and in the process pave the way for truly useful care robots. Even if you're working with a cookie-cutter floor plan in a McMansion development, what's inside the home is changing day by day or hour by hour. And for the time being, it has to identify objects in Camargo's home using QR codes. After getting good grasp, the robot makes its way back to Camargo.
In other words, GPU delivers better prediction accuracy, faster results, smaller footprint, lower power and lower costs. What is fascinating about Nvidia is that it has a full stack solution architecture for DL applications, making it easier and faster for data scientist engineers to deploy their programs. As part of a complete software stack for autonomous driving, NVIDIA created a neural-network-based system, known as PilotNet, which outputs steering angles given images of the road ahead. In addition to learning the obvious features such as lane markings, edges of roads, and other cars, PilotNet learns more subtle features that would be hard to anticipate and program by engineers, for example, bushes lining the edge of the road and atypical vehicle classes (Source:Cornell university CS department).
A LIDAR fires beams of laser and measures the time taken by it to return to the sensor, using the knowledge to create a map the car's immediate setting, including lanes, traffic, stop signs and traffic lights. A new technology called Lvl5, engineered by former Tesla engineers Andrew Kouri and Erik Reed, and computer vision scientist George Tall, might contribute to making self-driven cars cheaper by replacing the LIDAR sensors. "We don't really care if LIDAR wins out or computer vision wins out. Apart from Lvl5, Tesla is also working on a similar technology -- the company started using its cars' external cameras to spot traffic lights, lanes and street signs to improve its autonomous technology.
Apparently, LG has just been granted permission to test its autonomous cars on public roads, suggesting that it will soon be ready to compete against what Samsung has been developing. Since July 2013, the G6 maker has been producing car components like drive motors, battery packs and inverters. Meanwhile, Samsung has already been granted permission to publicly test its self-driving cars in South Korea this year. Apart from LG and Samsung, many other companies and organizations have been granted permission to publicly test autonomous driving vehicles in South Korea this year.
A House of Representatives panel just greenlit a measure that, once officially signed into law, would allow thousands of autonomous cars to hit the road while federal legislators draft more comprehensive safety laws. The legislation would exempt automakers from US safety rules and allow them to let loose tens of thousands of autonomous vehicles on American roads, all while prohibiting states from regulating their mechanical, software and/or safety systems. In the House's current version of this bill, automakers and tech firms would need to establish a cybersecurity plan before a self-driving car hits the road. That's probably be a relief to companies like Apple and Tesla that are stuck trying to change autonomous car laws on a state-by-state basis.