By Nicholas Stanley, Technical Operator, Civil Maps Maps can be exceptionally powerful – a well-crafted map can mean the difference between arriving on time… or not arriving at all. We at Civil Maps have been working tirelessly to bring the next generation of high-definition augmented reality maps (“HD Semantic Maps”) to fruition, but in the
By Paul Drysch, VP of Sales and Business Development Today’s autonomous vehicle and automated mobility market looks a lot like the early days of the personal computer industry: many players, each building its own proprietary machine: a highly automated vehicle (HAV). When a universal, hardware-agnostic computer operating system (OS) finally came along, it allowed specialized
By Sravan Puttagunta, CEO and Co-founder, Civil Maps We’ve all seen augmented reality (AR) in shows such as Monday Night Football, in which broadcasters superimpose virtual lines and diagrams on the field, manually marking up video playbacks to highlight key maneuvers and strategies. This helps viewers easily focus on points of interest, rather than looking
By Sravan Puttagunta, CEO and Co-founder of Civil Maps Civil Maps is excited to announce that we’ve migrated our edge-based HD mapping and localization solution to the Arm® family of processors. Arm is the licensor to the largest ecosystem of automotive grade system-on-chips (SoC) and system-on-modules (SoM), with its chips already found in 85% of
By Scott Harvey, Engineering Today, as CES 2018 kicks off, Civil Maps officially announces something we’ve been working on and refining for quite a while: our Fingerprint Base Map™ technology. It is a critical component of the breakthrough system that we’ve developed to enable cognition for self-driving cars. The Fingerprint Base Map is a key
By Sravan Puttagunta, Co-founder & CEO of Civil Maps The story of Civil Maps did not begin with cutting-edge self-driving cars, but with old-fashioned trains. The story is worth sharing, as it helps explain our unique approach to solving many of the toughest mapping and localization challenges facing the autonomous driving industry today. Specifically, our
By Melody Li, Product Management and Jian Wu, Engineering At Civil Maps, we are thrilled with the response to our webinar series, Getting Started With Sensor Data and pleased to announce our first Chinese-language webinars next week and in September. They’ll be hosted by our own Melody Li, Technical Product Manager for HD Semantic Maps,
By Ian Rios-Sialer, Engineering Last month, I had the opportunity to attend a portion of the 2017 IEEE Intelligent Vehicles Symposium (IV2017) in Redondo Beach, CA. The event is a forum that calls for everyone involved in the future of transportation to come together and discuss their latest work. Themes discussed at the conference were
(Getting Started with Sensor Data Webinar Series, Sensor Fusion – Part 1) By David Bulnes and Jian Wu, Engineering Last month, we held the second webinar in our ongoing and live-broadcasted Getting Started with Sensor Data series. (We’ve also published an archive of the video playlist here.) In that session, we covered the basics about
To drive autonomously, vehicles need software which emulates the routines of natural human cognition (processes used to judge, plan, acquire knowledge, or otherwise — “think”). Autonomous vehicles must be able to understand the world that surrounds them, and this environmental context can be provided in the form of a machine-readable, high-definition “semantic map.” Detailed 3D semantic maps,
