Skip to content
No description, website, or topics provided.
C++ C Cuda CMake Other
Branch: master
Clone or download
Latest commit 8d58798 Jun 11, 2018
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.idea finishe migration Sep 25, 2017
DeepCam fork from AugmentedVR Sep 20, 2017
Thirdparty ORBSLAM migrate eigen3.3ubuntu16 Sep 22, 2017
app delay compensation flag Dec 8, 2017
include pipeline reeval Dec 8, 2017
src pipeline reeval Dec 8, 2017
.gitignore sync Dec 5, 2017
CMakeLists.txt add motionvec only stream Dec 2, 2017
CMakeLists_usingORBSLAM.txt fork from AugmentedVR Sep 20, 2017
CamCalib.yaml pipeline reeval Dec 8, 2017
README.md Update README.md Jun 11, 2018
pre_build.sh finishe migration Sep 25, 2017
prerequisite.sh handles null receipt of pc Oct 24, 2017
prerequiste.sh build prerequisite Sep 28, 2017

README.md

AVR: Augmented Vehicular Reality

AVR extends vehicular vision to see beyond obstruction by sharing views through V2V communications.

IMAGE ALT TEXT HERE

Note:

  • We are actively working and updating this repo to incorporate more features and datasets.
  • For those who want to play with the code, We will release a mini-dataset and release a stable version soon.

Getting started

Prerequisites

  • Ubuntu 16.04
  • Latest CMake
  • ZED SDK 2.0
  • CUDA 8.0
  • sudo apt-get install libopenexr-dev libeigen3-dev libboost-all-dev libgtk2.0-dev libqt4-dev libopenni-dev libopenni2-dev libvtk6-dev libxmu-dev libxi-dev libflann-dev libcpprest-dev cmake libproj-dev
  • PCL 1.7.2 installed with its visualization module
  • Pangolin, get a release version
  • ProtoBuf
  • OpenCV 3.1 with OpenCV_Contrib, get a releaser version from both

Build the program

sh pre-build.sh  //build 3rd party libraries and untar vocabulary
mkdir build
cd build
cmake ..
make
You can’t perform that action at this time.