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Smart Cars<br />

The Actual Autonomous Car on the Road—Waymo<br />

As mentioned earlier, Waymo is the commercially<br />

approved vehicle utilizing Google’s self-driving vehicle<br />

exploration. These driverless vehicles have the capability<br />

to deliver people from points A to B safely. The 360-<br />

degree perception technology from Waymo detects<br />

pedestrians, other vehicles, cyclists, road work and other<br />

obstacles up to a distance of 300 yards. Similarly, the inhouse<br />

production system allows Waymo to efficiently<br />

integrate its technology to the hardware. Plus, Waymo<br />

engineers have also formed a program called Carcraft, a<br />

virtual world where Waymo can simulate driving<br />

conditions.<br />

Waymo’s AI software crunches data from the vehicle’s<br />

Lidar, Radar, and high-resolution cameras, GPS, and cloud<br />

services to generate the vehicle’s control signals for<br />

operating it. The Waymo project comprises various types<br />

of cars with the self-driving tools that include the Toyota<br />

Prius, Audi TT, Fiat Chrysler Pacifica, and Lexus RX450h.<br />

Moreover, Waymo has partnered with Intel to use Intel<br />

technologies, such as processors, inside the vehicles. The<br />

most valuable aspect of AI in automotive applications is<br />

that it is constantly learning, and adjusting the rules it uses<br />

to navigate the road. Each vehicle makes the information it<br />

learns available to the rest of the fleet. The result is a<br />

virtual neural network of self-driving vehicles that learn as<br />

they go.<br />

Conclusion<br />

The autonomous vehicle industry is currently drastically<br />

revolutionized by AI and supplementary intelligent<br />

technologies. Therefore, many tech-giants and major<br />

automotive companies have invested heavily in this area.<br />

It’s not only an opportunity for big companies but start-ups<br />

also playing a big role in it. Likewise, these developments<br />

are not just restricted to enabling autonomous vehicles, but<br />

creating optimized development processes for the entire<br />

supply chain. The tight integration between the sensor and<br />

AI systems also has the potential to offer significant value<br />

for the public and enable car manufacturers to gain a<br />

competitive advantage in a quickly evolving market place.<br />

In addition, there will be new opportunities, job vacancies<br />

and academic courses that the autonomous vehicles will<br />

offer to be perfect, errorless, and most<br />

importantly—driverless vehicles.<br />

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