Autonomous Ground Vehicle (AGV) simulator project for Computational Basis of Intelligence (CMPS 523).

Read the project assignment here.

Read the resulting report describing the project results.

From the abstract:

In this paper I implement a simulation testbed and agent for testing two Bayes filter algorithms, the Extended Kalman Filter (EKF) and the Particle Filter (PF). After implementing supplementary algorithms needed for motion noise, landmark detection and the like, the two algorithms are put through similar testing scenarios and the results are reported and compared. The results obtained for the test cases involving the EKF proved to be satisfactory, while the PF seemed to come up short. As it is commonly accepted that the PF is a more robust algorithm than the EKF, the author assumes that implementation errors have led to incorrect and disappointing results

Most recently built and ran under Java 17.

 ./gradlew run