Description

• This assignment involves designing, implementing and evaluating a state estimator. The setting is to track the location and velocity of a moving agent, specifically a flying aeroplane with noisy observation.
• The assignment description is available here.
• You will be evaluated based on your understanding of the concepts and the validity of your findings. A viva will be conducted.
• Any relevant doubts/clarifications should be posted as a follow-up on the A1 thread in Piazza. We will not be in a position to respond to emails and team messages. The signup link for Piazza is https://piazza.com/iitd.ac.in/spring2024/col778, and the access code is col778.

Submission Instructions

• This assignment is to be done individually.
• Please submit it on Moodle as a single zip file named <A1-EntryNumber1>.zip. The zip file should contain a single python file - A1.py - containing your implementation and ******a report - report.pdf - that details your algorithm, results and the insights you have gained. Upload the plots to the drive, and include the drive link at the beginning of the first page of the report.

├── A1.py
├── report.pdf

• The submission date is 6:00 pm on Monday, February 5, 2023. Late submission will incur a 10% penalty up to a single day.
• The assignment must be done only from your own original efforts. Do not use any existing or previous implementations done by others. Do not violate the honour code (refer to the course policy on honour code violations discussed in class).