UROP Project

Predictive Intersection Safety System (PREDISS)

sensor fusion, intersection safety, machine learning, artificual intelligence

Research Mentor: Dr. Paul Bupe,
Department, College, Affiliation: Center for Advanced Power Systems (CAPS), N/A
Contact Email: pb24p@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:

Looking for Research Assistants: Yes
Number of Research Assistants: 2
Relevant Majors: Open to all Engineering and Computer Science majors
Project Location: 2000 Levy Ave, Tallahassee, FL 32310 - Near the MagLab and FAMU-FSU Engineering in Innovation Park
Research Assistant Transportation Required: "Innovation" bus route
Remote or In-person: In-person
Approximate Weekly Hours: 7, During business hours
Roundtable Times and Zoom Link:
Not participating in the roundtable

Project Description

This project leverages state-of-the-art machine learning, controls, and autonomous vehicle technologies to improve the safety of pedestrians at intersections.

This research is part of a group of projects in our lab that focus on autonomous vehicle research across different settings, including urban roads, water, racing environments, and multi-vehicle collaboration. You will be exposed to key areas such as sensor technologies, environmental perception, vehicle localization, machine learning, and artificial intelligence.

Our lab uses the latest technologies in machine learning, control theory, optimization methods, and connected systems to create resilient and autonomous systems. Our research involves multiple disciplines, bringing together expertise from mechanical engineering, electrical engineering, computer engineering, embedded systems design, mathematics, and computer science.

Research Tasks: 1) Algorithm Development and Implementation
-- Includes perception, control, localization, and path planning

2) Machine Learning Model Tuning
-- Training and improving machine learning models.

3) System Integration and Testing
-- Combining software and hardware components, conducting simulations and real-world experiments

4) Collaborative Research and Documentation
-- Team meetings, literature reviews, and recording research findings

Skills that research assistant(s) may need: REQUIRED:
- Demonstrated experience with any programming language
- Attention to detail
- Problem-Solving

RECOMMENDED:
- A basic understanding of:
-- 1. Machine learning
-- 2. Computer hardware, electronic devices
- Time management