Enhancing Lane Detection in Autonomous Vehicles
Dave Rutvikkumar, FAU
Improving safety and performance of autonomous systems in real-world conditions using advanced data augmentation techniques.
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Where the next generation of mobility leaders take the stage.

This program is made possible through the generous support of the

The FAV Summit Student Poster Program highlights emerging ideas shaping the future of transportation, connecting students with industry leaders, real-world challenges, and opportunities to turn research into impact.
Student Poster DetailsStudent research recognized for practical ideas in autonomy, AI, and connected mobility.
Dave Rutvikkumar, FAU
Improving safety and performance of autonomous systems in real-world conditions using advanced data augmentation techniques.
View PosterMuhammad Shahbaz, UCF
A next-generation framework for building resilient, data-driven transportation systems in rapidly growing cities.
Sudipta Roy, UCF
Integrating passenger and parcel delivery through on-demand autonomous shuttle networks.
Students are invited to submit original research for exhibition at the FAV Summit. Selected participants present their work to a panel of industry experts and compete for top honors.
Accepted student presenters may also receive:
Students with approved posters may qualify for free conference access.