Are you passionate about the future of transportation? Eager to dive deep into cutting-edge technology and make tangible contributions? If so, we have an exciting opportunity for you!
**What will you do?**
– Dive headfirst into the field of Lidar perception (with camera fusion), an emerging technology that can transform smart mobility.
– Assist in crafting and testing advanced algorithms that detect pedestrians and vehicles and predict potential collisions.
– Harness the power of deep learning and AI to improve the safety and efficiency of transportation systems.
– Collaborate closely with a dedicated PhD student to refine and implement your innovations.
**Why join us?**
– Gain hands-on experience with state-of-the-art technology that can shape the future of transportation.
– Be a part of a meaningful project sponsored by FDOT – with the potential to save countless lives.
– Be part of a dynamic lab environment where learning and innovation go hand-in-hand.
– See your work in action: Your contributions will have a direct impact on improving smart mobility solutions and will be implemented in the field.
Learn more: https://www.cecs.ucf.edu/sagarwal/research/
The position may be extended (based on performance).
Project Dates
Start Date: 1/8/2024 - End Date: 12/9/2024
Students Needed
Type of Project
Individual or team
Student Responsibilities
Time Commitment
10 hour(s)
Student Requirements
Qualifications: Pursuing an undergraduate degree in Computer Science, Electrical Engineering, or a related field. Strong interest in Lidar technology, AI, and deep learning. (with basic courses already completed) Collaborative spirit and a keenness to work within a diverse team. Problem-solving mindset and a passion for innovation.
Interested in Working With the Following Programs
Honors Undergraduate Thesis
Additional Notes