TRACKTICS

Building a scalable GNSS-IMU sensor fusion pipeline using Docker, Luigi, ECS and S3

Coming soon … -- -- -- DESCRIBE THAT WE HAD TO COME UP WITH SOME WAY TO DO -- WRITE A LITTLE BIT ABOUT BATCH PROCESSING VS STREAM PROCESSING -- -- -- -- DESCRIPTION OF LUIGI VS AIRFLOW VS ... -- DIRECTED ACYCLIC GRAPHS -- CONTAINER ORCHESTRATION (ECS, FARGATE, SOME WORDS ON KUBERNETES AND WHY WE DONT USE IT) -- EC2 INSTANCE CONFIGURATION (C4 INSTANCES) -- THE COSTS PER SESSION -- SCALING APPROACH, SPOT INSTANCES -- WE IMPLEMENTED PROTOTYPE VERSIONS OF OUR ALGORITHMS IN C++ AND -- WE TRANSLATED A KALMAN SMOOTHER FROM PYTHON TO C++ ARMADILLO -- WE TRANSLATED OUR IMU PREPROCESSOR USING CYTHON -- -- -- -- VERSION CONTROL WORKFLOW (ONEFLOW) -- VERSIONING APPROACH -- SCREENSHOT OF JUPYTER NOTEBOOK EVALUATION -- -- DESCRIBE THE FACTOR GRAPH ALGORITHM AND PREPROCESSING -- DESCRIBE OFFLINE VS ONLINE ESTIMATION -- ADD FACTOR GRAPH SKETCH -- SIMPLE IMU KITTI EXAMPLE FACTOR GRAPH -- -- WE TEAMED UP WITH SENSOR FUSION EXPERTS FROM KNOWTION -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --