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Synopsis

System is developed to achieve Visual Odometry for a moving car, using the output of a stereo camera. Rectified stereo images from a moving camera is used to estimate camera pose and reconstruct a 3D map of scene points. Our system is further optimized using bundle adjustment and pose-graph optimization. Developed model was used to estimate the trajectory of the camera for various scenarios in the KITTI dataset.

Results

Visual Odometry results for two sequences from the KITTI dataset.

Dependencies:

  OpenCV2.4
  PCL
  g2o

Building Project in terminal:

  mkdir build
  cd build
  cmake ..
  make

Running project

cd <project_dir>
./vo PATH_TO_LEFT_IMAGE_SET_DIRECTORY PATH_TO_RIGHT_IMAGE_SET_DIRECTORY PATH_TO_YAML_FILE

Contributors

Xiaoyu Zhou @ucsdxiaoyuzhou
Akshaya Purohit @akshayapurohit23
Bolun Zhang @zblzcj
Leonard Melvix @lmelvix

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Stereo Visual Odometry system for self-driving cars using image sequences from KITTI dataset

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