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Built a 2D map of the environment and trajectory of the car using EKF prediction based on SE(3) kinematics with IMU data and EKF update based on stereo camera measurements from an autonomous car.

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ashish-farande/Visual-Inertial-SLAM

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Visual Inertial SLAM

Over the years, there have been many research topics and advancements in the domain of SLAM, depending on the application and sensors used such as lidar, sonar, radar etc. Today, due to the advancements in the CPU and GPU processing, there had been rising interest in using the camera due to the rich visual information, robustness and low cost. The VI-SLAM Is also popular due to its diverse application from autonomous navigation in aerial vehicles to Augmented/Virtual reality.

Instructions

  • The demo could be found in the jupyter notebooks.
  1. There is also a main file where you can run all the functions
  2. The core functions are implemented in the slam.py
  3. The utility methods are present in the utils.py

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Built a 2D map of the environment and trajectory of the car using EKF prediction based on SE(3) kinematics with IMU data and EKF update based on stereo camera measurements from an autonomous car.

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