In 2013, Google's self-driving car division was developing a semi-autonomous system that would allow for hands-free driving on highways.
Focus On: Cybersecurity
The future of secure autonomous vehicles starts today. But the auto industry has to overcome some challenges, like shifting left and building security in. The post It’s not just autonomous cars of the future that need security appeared first on Software Integrity Blog.
Insurance giant Marsh & McLennan is leading a “Cyber Catalyst” program involving top cyber insurance companies to provide seal of approval for top-rated cybersecurity products. How will this impact consumers and the cyber insurance industry?
Focus On: RADAR
WaveSense provides a solution for boosting autonomous vehicle safety and advanced assisted driving features by deploying ground-penetrating radar for accurate, all-weather vehicle positioning. For any company that wants to develop an autonomous vehicle, there are two things that they must tackle: perception and localization. Perception is the sensing and interpretation of the vehicle’s surroundings –Read…
Every year, 1.25 million people are killed by car accidents, and human errors (drunk driving, speeding, ignoring traffic signals, and texting while driving) are responsible for more than 94 percent of these fatal accidents. This...
Focus On: LIDAR
Just a few months ago, Innoviz became one of the better capitalized lidar startups when it announced it had raised $132 million in a Series C funding round. But that wouldn’t be the end of it. The company kept the funding doors propped open and ultimately captured another $38 million from inv…
Focus On: Cameras
Porsche’s venture arm has acquired a minority stake in TriEye, an Israeli startup that’s working on a sensor technology to help vehicle driver-assistance and self-driving systems see better in poor weather conditions like dust, fog and rain. The strategic investment is part of a Series …
Cornell University researchers have developed a way of using low-cost, stereo cameras to allow self-driving cars to detect 3D objects with a range and accuracy approaching that of lidar.
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