Project Related Resources
Problem Domain Books
Machine Learning with TensorFlow
Book by Nishant Shukla
Websites
Coursera Machine Learning Course ( Online Course )
This is an online course that our team used to build the machine
learning foundations necessary to research this topic. This is an 11 week Stanford
course taught by Andrew Ng.
ROS Tutorials ( Visit ROS website )
This website contains various tutorials for the fundamentals
of ROS, including installation to creating a ROS package to writing a
program in either C++ or Python. In addition to the tutorials for the
basics of ROS, there are more specific tutorials on specific ROS
features and how to use them.
TensorFlow ( Visit TensorFlow website )
This website contains all the information that pertains to the open
source library, TensorFlow. In addition to the documentation of
TensorFlowm this website allow provides a large selection of tutorials
on machine learning. In particular, we will reference the convolutional
neural network tutorials.
Conference Papers and Journal Articles
Human Detection for Night Surveillance ( Link to Article )
Similar to the problem we aim to solve with autonomous vehicles, this article discusses a research team’s approach to improving human detection in surveillance videos in low light. Their approach to solving the problem utilizes a FLIR (Forward Looking Infrared) camera and then processes these thermal images for analysis.
Target Detection ( Link to Article )
This article proposes a method for autonomous vehicles to better
detect vehicles and pedestrians. The proposed method utilizes
millimeter wave radar and a camera. The target from the radar is
mapped to the image from the camera. Fusing these two pieces of data
together, through experiments, has proven to provide better vehicle
and pedestrian detection.
News and Other Information
Autonomous vehicles and weather ( Link To Article )
One of the primary remaining obstacles remaining until fully autonomous vehicles
is making them function in visually degraded conditions.
Autonomous Cars' Pick: Camera, Radar, Lidar? ( Link To Article )
A Comparison of the currently available sensor modalities for autonomous vehicles.