3D Object Detection, Lane Detection and Pose Estimation using RGB Images and LIDAR

The goal of this project is to use information from color cameras, greyscale cameras and LiDARs to detect objects of interest at the farm,as well as estimate the location and orientation of those objects. This research would allow Mojow to develop a 3D object detection system which can be used in their decision making systems. The expertise from the research team at the University of Alberta helps the Mojow team to evaluate the feasibility and reliability of different approaches and algorithms and quickly prototype and test the most promising ones. This ultimately saves significant time for the Mojow development team and allows them to focus on proven concepts with more predictable outcomes.

Faculty Supervisor:

Nilanjan Ray

Student:

Partner:

Mojow Autonomous Solutions Inc.

Discipline:

Computer science

Sector:

Agriculture

University:

University of Alberta

Program: