• Object residual constrained Visual-Inertial Odometry (OrcVIO) is a visual-inertial odometry pipeline, which is tightly coupled with tracking and optimization over structured object models. It provides accurate trajectory estimation and large-scale object-level mapping from online Mono+IMU data.

• OrcVIO-Lite only uses bounding boxs and no keypoints. The object mapping module and VIO module are implemented in separate ROS nodelets and are decoupled.

• Related publication: OrcVIO: Object residual constrained Visual-Inertial Odometry, this is the journal version submitted to T-RO. Project website

@inproceedings{shan2020orcvio,
  title={OrcVIO: Object residual constrained Visual-Inertial Odometry},
  author={Shan, Mo and Feng, Qiaojun and Atanasov, Nikolay},
  booktitle={2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={5104--5111},
  year={2020},
  organization={IEEE}
}   

This repository was tested on Ubuntu 18.04 with ROS Melodic.

The core algorithm depends on Eigen, Boost, Suitesparse, Ceres, OpenCV, Sophus, GTest

$ git clone --recursive https://github.com/shanmo/OrcVIO-Lite.git
$ cd OrcVIO-Lite
$ mkdir build
$ cd build
$ cmake -D CMAKE_BUILD_TYPE=Release ..
$ make

• Environment is Ubuntu 18.04 with ROS Melodic
• The ROS version also depends on catkin simple, please put it in the ros_wrapper/src folder

$ git clone --recursive https://github.com/shanmo/OrcVIO-Lite.git
$ cd OrcVIO-Lite/ros_wrapper
$ catkin_make
$ source ./devel/setup.bash

• Download dataset

  Download EuRoC MAV Dataset to PATH_TO_EUROC_DATASET/.

• VIO

$ cd PATH_TO_ORCVIO_LITE/
$ ./run_euroc.sh PATH_TO_EUROC_DATASET/

• Download dataset

  ERL indoor dataset (chairs, monitors)

  • Indoor rosbags were collected with Realsense D435i in Existential Robotics Lab, University of California San Diego.

• VIO

$ cd OrcVIO_Lite/ros_wrapper/
$ roslaunch orcvio orcvio_vio_rs_d435i.launch path_bag:=PATH_TO_ERL_DATASET/

• VIO & Mapping

$ cd OrcVIO_Lite/ros_wrapper/
$ roslaunch orcvio orcvio_mapping_rs_d435i.launch path_bag:=PATH_TO_ERL_DATASET/

• rviz visualization

• The path to save the object map is set in config/object_feat_erl.yaml by result_dir_path_object_map

MIT License
Copyright (c) 2021 ERL at UCSD

• LARVIO
• MSCKF
• OpenVINS
• OpenVINS eval