UROP Research Mentor Project Submission Portal: Submission #827
Submission information
Submission Number: 827
Submission ID: 14761
Submission UUID: 9b830170-aede-486a-9cc6-69dec5f70b99
Submission URI: /urop-research-mentor-project-submission-portal
Submission Update: /urop-research-mentor-project-submission-portal?token=RcEqS3xAc5xArB3OQPJDGd-xN1O0JGJWKnenG9F781c
Created: Fri, 08/16/2024 - 05:44 PM
Completed: Fri, 08/16/2024 - 05:44 PM
Changed: Mon, 10/07/2024 - 10:34 AM
Remote IP address: 144.174.212.17
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)
Overall Project Details
State-of-the-art Predictive Intersection Safety System
Machine Learning, Computer Vision, Sensor Fusion, Control Systems, Artificial Intelligence
No
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
8
Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
This project leverages state-of-the-art machine learning, controls, and autonomous vehicle technologies to improve the safety of pedestrians at intersections. The algorithms and systems developed will be evaluated on local intersections in collaboration with the City of Tallahassee's Regional Transportation Management Center (RTMC).
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, control systems, 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, control systems, 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) Data Collection and Analysis
-- Gathering, processing, and interpreting data from various sensors and test drives
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) Data Collection and Analysis
-- Gathering, processing, and interpreting data from various sensors and test drives
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:
- Basic 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
- Basic 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://raslab.netlify.app/
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UROP Program Elements
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2024
https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=RcEqS3xAc5xArB3OQPJDGd-xN1O0JGJWKnenG9F781c