Here are some proposals for the class projects. Your best bet is to pick a topic which explores in greater detail some topics covered in class (hence involes additional reading) and implement the chosen algorithm and demostrate it in action.

In case you do not plan to select one of the suggested projects, your project description is due in class on the date specified in schedule. You can also schedule a meeting with me to discuss the project, if you are not sure what to do or need some help specifying details. The requirement of the project is that you will have to study, read some advanced material (either papers or advanced chapters from the books) not covered in the class and have a very clear idea about the outcome of your project.

ICP algorithm (Iterative Closest Point Algorithm) Project details
Implement the motion estimation using the basic Iterative Closest Point (ICP) Algorithm, which aligns the two 3D scans. Evaluate its performance and choices of different parameters on several datasets or range data, or combined range and visual data.
Input: sequence of range scans acquired by Kinect sensor along with synchronized sequences of color images
Output: computed motions between consecutive frames and visualization of the aligned cloud points.

Particle filter: Project details
In this project you implement complete particle filter.
Input: You will be given the representation of world along with the sensor readings to be used by the filter and some code snippets.
Output: You will have to implement the remaining portions of the code to have the filter working properly.

Related Courses Past Projects

Robotic Systems