CIVIL MAPS
Engineering Updates
Fusing GPS + IMU For Fun and SBETS
(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
Cognition for Autonomous Cars Using 6D Localization
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,
To Build an Atlas
At Civil Maps, we’ve developed technology that allows analog and
autonomous test vehicles to navigate roads using crowdsourced, HD, 3D
maps rather than current, high-latency and high-compute methods. We are
excited to share with you one key part of this solution, designed for
those working on self-driving cars. 2016 was a pivotal year for our
A Day at the Self-Driving Races
This weekend, we’ll be heading over to Thunderhill Raceway in
Willows, CA for the Self- Racing Cars event, with the goal of ultimately
providing cognition and 3D mapping for autonomous competition vehicles.
The two-day race was launched just last year and is gaining an
enthusiastic following from local autonomous vehicle technology
companies. Bringing together a
Working with LiDAR – Webinar 1
A few weeks ago, Civil Maps hosted our very first webinar from the
conference room of our shiny new offices in downtown San Francisco. It
was the first part of a series we’re presenting called Getting Started
with Sensors. We talked about LiDAR, one of the sensor types we use for
creating 3D semantic map
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