UROP Research Mentor Project Submission Portal: Submission #1228
Submission information
Submission Number: 1228
Submission ID: 20736
Submission UUID: 018b46e3-5634-4ded-99d9-58e404f99965
Submission URI: /urop-research-mentor-project-submission-portal
Submission Update: /urop-research-mentor-project-submission-portal?token=_7t7BgvAf_9k-zt_Xo50a6iV-L64iLYWJly3M83Y5L0
Created: Mon, 08/18/2025 - 12:02 PM
Completed: Mon, 08/18/2025 - 12:47 PM
Changed: Mon, 08/25/2025 - 12:33 PM
Remote IP address: 216.82.57.246
Submitted by: Anonymous
Language: English
Is draft: No
Webform: UROP Project Proposal Portal
Submitted to: UROP Research Mentor Project Submission Portal
Research Mentor Information
Additional Research Mentor(s)
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Overall Project Details
Predictive Intersection Safety System (PREDISS)
sensor fusion, intersection safety, machine learning, artificual intelligence
Yes
2
Open to all Engineering and Computer Science majors
2000 Levy Ave, Tallahassee, FL 32310 - Near the MagLab and FAMU-FSU Engineering in Innovation Park
"Innovation" bus route
In-person
7
During business hours
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.
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.
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
-- 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
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
- 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
My mentoring philosophy revolves around empowering students to be independent problem solvers in any domain. I treat students as subject-matter experts in their respective projects and serve as a resource alongside them when they need help, to brainstorm ideas, and if there is an issue of safety. My students should expect to look things up, learn new skills, acquire knowledge needed to accomplish their tasks, and have fun while being in a safe and professional environment. I do not expect perfection, just a willingness to learn and recover quickly from any failures. There is always something new to learn and I look forward to learning new things from students.
https://ras-lab.com/prediss/
News segment about the technology: https://www.wctv.tv/2025/03/05/tallahassee-traffic-safety-turning-new-direction-with-joint-famu-fsu-artificial-intelligence/
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UROP Program Elements
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2025
https://cre.fsu.edu/urop-research-mentor-project-submission-portal?element_parents=elements/research_mentor_information/headshot_optional_&ajax_form=1&_wrapper_format=drupal_ajax&token=_7t7BgvAf_9k-zt_Xo50a6iV-L64iLYWJly3M83Y5L0