The moment of unmanned vehicles is approaching. You go to the car and sit, read newspapers or surf the web on the phone or tablet, and the car will take you directly to work. It seems like that driving a car is just for people who can pass the driving test. People who are too young or too old, with disabilities or psychological symptoms can not get this experience. But with self-propelled vehicles, individual traffic will open up all segments of society. Ownership of a modern travel device will be within reach of everyone. Recently, many big car manufacturers and technologists have joined the development race – intelligent self- operating technology. Those are self – driving cars without the need to intervene in human hands. With the current trend of technology development, experts predict that in the next 15 to 20 years, self-driving vehicles will overwhelm the current media. Therefore, we picked the three best automated self-driving cars to introduce you.
Tesla is one of the leading names in autopilot technology with autopilot system and outstanding features. In October 2016, Elon Musk promised that by the end of 2017, a Tesla car could travel from Los Angeles to New York without any human intervention. However, the CEO corrected the assumption that it would happen in early 2018. Tesla introduced the Autopilot for the first time on the Model S in 2015, which has the ability to operate in certain situations. Last year, the manufacturer upgraded the hardware on all models to support the latest autopilot system called Enhanced Autopilot. According to Tesla, cars produced from October 2016 onwards are equipped with eight surround cameras provide 360 degrees of visibility around the car at up to 250 meters of range. Twelve updated ultrasonic sensors complement this vision, allowing for detection of both hard and soft objects at nearly twice the distance of the prior system. A forward – facing radar with enhanced processing provides additional data about the world on a redundant wavelength that is able to see through heavy rain, fog, dust and even the car ahead. Enhanced Autopilot adds these new capabilities to the Tesla Autopilot driving experience. Your Tesla will match speed to traffic conditions, keep within a lane, automatically change lanes without requiring driver input, the transition from one freeway to another, exit the freeway when your destination is near, self-park when near a parking spot and be summoned to and from your garage. When it comes to stops, the Enhanced Autopilot feature continues to work in the search for available parking spaces and then performs parallel or perpendicular parking.
Especially, with a mobile application, owners can “dictate” the vehicle itself in or out of the garage without sitting in the car. All new Tesla vehicles have a hardware which is compatible with Enhanced Autopilot. However, if you want to use this technology, you have to pay $ 5,000 to activate at the time of purchase. If you choose to activate later, the cost will increase to $ 6,000.
There is a point to note that because TESLA is not able to drive completely at the moment, the manufacturer recommends that customers should put their hands on the steering wheel. If the driver leaves the steering wheel for too long, the car will automatically stop at the curb and stop before restarting the self-steering to ensure safety.
As an upgrade above and beyond Enhanced Autopilot’s capabilities, the company’s stated intent is to offer full self-driving at a future time, acknowledging that legal, regulatory, and technical hurdles must be overcome to achieve this goal. Tesla plans to demonstrate full self-driving by early 2018 and to enable the capability by the end of 2019.
NDIVIA is famous for its computer graphics chip, it has successfully developed supercomputers for self-driving vehicles. If you are looking for a place to stand out in the increasingly competitive technology race, NVIDIA’s latest generation supercomputer foundation may be what you are looking for. PX Pegasus, the name for this new platform, is capable to process an amount of massive data with the size of a single sheet. If in a few decades ago, it may need some buildings to hold all that data.
Developed to replace the NVIDIA PX-2 platform in the third quarter of 2018, PX Pegasus is said to be capable of processing 320 trillion calculations per second, which is 10 times faster than its predecessor. It can deliver 30 trillion calculations per second.
NVIDIA says Pegasus can handle data at an extremely high speed, and it consumes less power than previous generations. “After the first-generation platform, we realized that products need to be more productive,” said Danny Shapiro, director of the automotive industry at NVIDIA. He also says that the computers are really needed for future cars.
The PX Pegasus uses four high-performance AI processors – two of the latest generation of NVIDIA’s Xavier processors and the next two GPUs specifically designed to accelerate the processing of advanced algorithms and integrate differential image data.
With a solid hardware foundation, the future of self-driving cars seems to be very good. The rest is that the car companies need to consider and develop the corresponding software to be able to maximize the efficiency that the hardware brings. In the growing demand for processor chips in the auto and semiautomatic industries, NVIDIA is making a very effort to be a leader in this trend.
Currently, NVIDIA is using two Xavier chips in the AI Pegasus system, used in self-steering vehicles of level 5 – the highest level of self-propelled cars with the ability to manually enter the traffic without to the presence of the driver.
NuTonomy (stylized as nuTonomy) is an MIT spin-off technology startup company that makes software to build self-driving cars and autonomous mobile robots. The company was founded in 2013. nuTonomy plans to introduce a fully automated self-driving taxi service in 2018. In August 2016, it launched its robo-taxi service (pilot project) in Singapore.. And this is an important step toward that goal. In addition, the company also conducted trials in London and Michigan in partnership with Jaguar Land Rover.
Self-driving taxis are adjusted from the Renault Zoe and Mitsubishi i-MiEV versions, and there are drivers for emergencies and a researcher sitting behind to monitor the computer system. Each car is equipped with six sets of Lidar – a system that uses lasers to act as radars, along with two cameras on the control panel to scan obstacles and observe traffic lights.
In a recent statement, NuTonomy CEO and co-founder Karl Iagnemma said that their testing is a good opportunity to gather feedback from customers in real-world. This will give NuTonomy an advantage to achieve the goal of developing a fully self-propelled car system in 2018.