Autonomous Cars Need Many Sensors to Avoid Mistakes
security·@mrosenquist·
0.000 HBDAutonomous Cars Need Many Sensors to Avoid Mistakes
<html> <p><img src="https://s18.postimg.org/pmg0k8vfd/bikeedgecasepredictions1.png" width="685" height="475"/></p> <p>As reported in the <a href="https://www.technologyreview.com/s/608321/this-image-is-why-self-driving-cars-come-loaded-with-many-types-of-sensors/">MIT Technology Review</a>, this picture represents an ‘edge case’ where the sensors of an on-board autonomous vehicle were able to successfully identify a number of different objects but failed to understand that some were just images as part of a vehicle advertising mask. The camera and image processing identified cars, a person, and multiple bicycles, but most objects were not real. It simply could not tell the difference. </p> <p>Such situations with important objects could cause the vehicle to act in an undesired way. In the right circumstances it could make a vehicle suddenly brake or swerve. Such ‘edge cases’ represent challenges for technologists working to make smart cars safe to operate without the need of human oversight. </p> <p>The lesson learned from this image is that more sensors are needed to verify objects. The use of cameras, ultrasound, lidar, and radar can provide comprehensive data needed to distinguish and validate different objects. This is why many autonomous vehicles have an array of sensors. </p> <p>Vehicles sensors, artificial intelligence (AI), and actuators all must act in concert to understand the dynamic environment in order to navigate safely. Overlapping sensors as well as a number of checks and balances is required in the AI logic to support safe autonomous operation. </p> <p>This is no easy challenge. It takes tremendous engineering, testing, AI learning, and continuous improvements to adapt to new and unforeseen challenges. The very best technology, thought-leadership, and innovation is necessary to address 'edge cases' that will arise. </p> <blockquote><em>Trust will become paramount to the acceptance and proliferation of autonomous transportation.</em> </blockquote> <p>But how will prospective customers and passengers know if the combination of technology is safe? Most of the autonomous driving magic is hidden away, embedded in the code of AI engines, and will not be understood by the average consumer. Nor will the nuances of sensor hardware. The result will be a rise in brand reputation. Consumers don’t need to know all the details in order to believe in safety. Many car brands are already known for superior crash safety, without the consumer being able to understand the myriad of systems that are involved. </p> <p>The same will be true for autonomous vehicles. Suppliers and vehicle manufacturers will differentiate based on their bundle of safe and secure driving technology. Trust will be the new currency in future branding wars. Those who can achieve the best results will flaunt it, to attract buyers. Those without will be left in the rear-view mirror. </p> <p><br></p> <p>Image Credit: <a href="https://www.technologyreview.com/s/608321/this-image-is-why-self-driving-cars-come-loaded-with-many-types-of-sensors/">https://www.technologyreview.com/s/608321/this-image-is-why-self-driving-cars-come-loaded-with-many-types-of-sensors/</a> </p> <p><br></p> <p>Interested in more? Follow me on <a href="https://www.linkedin.com/today/author/matthewrosenquist">LinkedIn</a>, <a href="https://twitter.com/Matt_Rosenquist">Twitter (@Matt_Rosenquist)</a>, <a href="http://infosecstrategy.blogspot.com/">Information Security Strategy</a>, and <a href="https://www.steemit.com/@mrosenquist">Steemit</a> to hear insights and what is going on in cybersecurity.</p> </html>
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