Before Mass Production, Self-Driving Vehicles Need This Missing Piece

Before Mass Production, Self-Driving Vehicles Need This Missing Piece

What does the state of autonomous vehicles look like right now? To find out, the Autotech Council—a Silicon Valley-based ecosystem of automobile industry players—held an industry gathering. The half-day event, hosted by Western Digital, brought together 300 leaders in the autonomous vehicle industry. We partnered with SiliconANGLE, a leading digital media platform, to spend a few minutes talking with a select group of these leaders. Watch the latest expert interview here.

How do all the sensors, cameras, and other hardware on autonomous vehicles communicate to react to real-world driving conditions?

The glue that might hold all of these automotive pieces together is software. Automobile manufacturers are starting to incorporate software that enables autonomous driving. While some larger enterprises have the resources to develop self-driving vehicles in-house, other businesses have to get crafty to get by.

Suneil Mishra is one of them. As the leader of Strategic Marketing at Tensyr, he sees a gap from research and development to mass-market production of autonomous vehicles. Startups focused on AI, ML, and computer vision systems for these vehicles take different approaches. This variety makes creating a standard platform—similar to a vehicle assembly line—a challenge for automakers.

To combat this issue, Suneil and his team are working on a robust production framework for self-driving automobiles. At the core of this framework? The pillars of safety, efficiency, security, adaptability, and productivity. With these values in mind, Tensyr uses a software platform that helps builders of autonomous vehicles find the right mix of hardware.

Finding the Right Self-Driving Vehicle Hardware

* Video clip from full interview.

For autonomous vehicles, different components from OEMs, suppliers, and other vendors present a design challenge. To make sense of these parts, Suneil and his team have integrated their development framework with a runtime engine. This system helps self-driving vehicles read and react to real-world road conditions safely and efficiently. With it, autonomous vehicles may soon start to ramp up production.

Driving in Rain, Snow, and Other Tough Conditions

* Video clip from full interview.

People don’t always drive down the sunny roads of Arizona. That’s why startups are developing their autonomous vehicles through rigorous road testing in Michigan, where rain, snow and sleet are everywhere. In the real world, self-driving vehicles need software to work in many different types of driving environments. This processing takes a high amount of computing power. Instead, Tensyr is hard at work developing an embedded system for autonomous vehicles that consumes less power without sacrificing processing capabilities.

Autonomous vehicles may be the mode of transportation for the future. But, to reach mass production of self-driving cars, it’ll take a production framework that’s safe, efficient, and reliable.