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): 

  • GPS and IMU how they work separately and together
  • How Civil Maps captures IMU data
  • Coordinate systems of IMU
  • Creating a vehicle trajectory from IMU data

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 (Sensor Fusion Part 1): Thursday, May 25th 1:30 PM PST (4:30 PM EST): 

  • Transforming LiDAR data from different vehicle mounting positions
  • Time Synchronization between LiDAR and IMU

Session One: Thursday, March 30th 1:30 PM PST (4:30 PM EST): 

  • What is LiDAR and how it works
  • How Civil Maps uses LiDAR
  • Reading LiDAR in from packet captures
  • LiDAR relationships to other existing vision sensors

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)

  • Creating and registering a point cloud by fusing LiDAR and IMU sensor data

After part 1 & 2 you will be able to generate a point cloud by fusing the IMU trajectory and the LiDAR data.