Processing sensor data remains a multi-industry, multi-million dollar challenge, especially for those trying to commercialize self-driving vehicles. Major technology companies, automakers, and startups are racing to master this data for simultaneous localization and mapping (SLAM) as well as other use cases such as existing driver assist programs.
In a free, online webinar series, Civil Maps will lead discussions about working with sensor data, starting off with elementary topics while mixing in sample code and sample data for those with existing industry experience. We develop cognition for autonomous vehicles -- giving them contextual awareness and enabling them to crowdsource dynamic, 3D maps. Over the past few years collaborating with major automotive and railroad entities, we’ve gained significant experience working with a variety of sensors.
Session Two: Tuesday, May 9th 1:30 PM PST (4:30 PM EST):
After this session you will understand how GPS and IMU work in the context of capturing vehicle motion and a simple technique for creating a trajectory from a sample set of IMU data.
Work with real world data and learn from industry pros
Webinar Series by Civil Maps:
Getting Started with Sensor Data for Autonomous Cars
Sessions (50 minutes):
Session Three (Thursday, May 25th 1:30 PM PST (4:30 PM EST):
This conversation covers general sensor fusion concepts. It begins with a discussion about using 3D semantic maps in sensor fusion. The talk also includes a look at hardware prerequisites (spatial and temporal). Near the end of the seminar, attendees will download some code. They’ll use that to work with Civil Maps cognition.
Session One: Thursday, March 30th 1:30 PM PST (4:30 PM EST):
After this session you will be able to understand how LiDAR works, read LiDAR data, and visualize a sample data set.
Session Four (Sensor Fusion Part 2): Thursday, June 29th 1:30 PM PST (4:30 PM EST)
After part 1 & 2 you will be able to generate a point cloud by fusing the IMU trajectory and the LiDAR data.