Classical VIO pipelines use geometric information to infer the ego-motion of the camera and couple this information with measurements from the IMU. VIO are established technologies used nowadays in many embedded application like Space exploration, drones, VR/AR goggles, etc.. Therefore, the future is to compute the VIO pipeline in a dedicated embedded computer in order to liberate the main computer for high level perception and complex tasks. This project is about solving the challenging tasks of compiling, deploying and testing SVO algorithm in a NanoPi computer integrated on a quadrotor.
Classical VIO pipelines use geometric information to infer the ego-motion of the camera and couple this information with measurements from the IMU. VIO are established technologies used nowadays in many embedded application like Space exploration, drones, VR/AR goggles, etc.. Therefore, the future is to compute the VIO pipeline in a dedicated embedded computer in order to liberate the main computer for high level perception and complex tasks. This project is about solving the challenging tasks of compiling, deploying and testing SVO algorithm in a NanoPi computer integrated on a quadrotor.
Generated a cross compilation pipeline for cutting edge visual-inertial odometry (SVO) with
real field testing in drones. The target platform in an ARM Cortex AX Quad-Core family of
processors. Continuous Integration (CI) of the cross compilation pipeline is also desired.
Generated a cross compilation pipeline for cutting edge visual-inertial odometry (SVO) with real field testing in drones. The target platform in an ARM Cortex AX Quad-Core family of processors. Continuous Integration (CI) of the cross compilation pipeline is also desired.
Javier Hidalgo-CarriĆ³ (jhidalgocarrio@ifi.uzh.ch) and Thomas Laengle (tlaengle@ifi.uzh.ch)
Javier Hidalgo-CarriĆ³ (jhidalgocarrio@ifi.uzh.ch) and Thomas Laengle (tlaengle@ifi.uzh.ch)