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 Three (Sensor Fusion Part 1): Thursday, April 27th 1:30 PM PST (4:30 PM EST):
Sessions (50 minutes):
Session Four (Sensor Fusion Part 2): Thursday, May 4th 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.
Work with real world data and learn from industry pros
Webinar Series by Civil Maps:
Getting Started with Sensor Data for Autonomous Cars
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 Two: Thursday, April 13th 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.