At this moment Autonomous cars are probably the biggest and most talked about technology in the Robotics Research Community. In spite of great technological advances over past few years a full edged autonomous car is still far from reality. This article talks about the existing system and discusses the possibility of a Computer Vision enabled driving being superior than the LiDar based system. A detailed overview of privacy violations that might arise from autonomous driving has been discussed in detail both from a technical as well as legal perspective. It has been proved through evidence and arguments that efficient and accurate estimation and efficient solution of the constraint satisfaction problem addressed in the case of autonomous cars are negatively correlated with the preserving the privacy of the user. It is a very difficult trade-off since both are very important aspects and has to be taken into account. The fact that one cannot compromise with the safety issues of the car makes it inevitable to run into serious privacy concerns that might have adverse social and political effects.
Hardly a week goes by without fresh signposts that our self-driving future is just around the corner. It will likely take decades to come to fruition. And many of the companies that built their paper fortunes on the idea we'd get there soon are already adjusting their strategies to fit this reality. Uber, for example, recently closed its self-driving truck project, and suspended road testing self-driving cars after one of its vehicles killed a pedestrian. Uber's chief executive even announced he would be open to partnering with its biggest competitor in self-driving tech, Alphabet Inc. subsidiary Waymo.
Tesla is aiming to have a fully driverless car ready by 2018, and Uber recently kicked off a pilot in Pittsburgh where select users can hail a ride in a self-driving car. And many other companies have plans to roll out some form of self-driving cars by 2020. But chances are, you're more likely to see a driverless truck in practice before a self-driving car. It's a lot easier to build autonomous tech for highway driving than city maneuvering. On highways, there are fewer obstacles for the vehicles to worry about.
This story was delivered to BI Intelligence IoT Briefing subscribers. To learn more and subscribe, please click here. AImotive, a Budapest-based artificial intelligence (AI) provider for fully autonomous vehicles, announced that it's expanding its operations to the US, TechCrunch reports. The company recently opened an office in Mountain View, California, and more offices around the country could soon be opened. AImotive's goal is to provide AI solutions to automakers to help enable level 5 autonomy, which we define as a vehicle operating without pedals or a steering wheel.
Residents of Helsinki, Finland will soon be used to the sight of buses with no drivers roaming the city streets. One of the world's first autonomous bus pilot programs has begun in the Hernesaari district, and will run through mid-September. Finnish law does not require vehicles on the road to have a driver, making it the perfect place to get permission to test the Easymile EZ-10 electric mini-buses. "This is actually a really big deal right now," Harri Santamala, project manager at Metropolia University of Applied Sciences and the test project lead, told a local news outlet. SEE: When will we get driverless cars?