NYU Self Drive (GY)
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Aiming to revolutionize the autonomous industry by researching, designing and prototyping self driving cars
NYU Self-Drive is in its 4th year of existence as a competition-based student lead team that pursues learning and innovation in the Artificial Intelligence and Autonomous Vehicle space. Through competition based learning, with mechanical/computer engineering aspects, the team seeks to provide a platform for members to familiarize themselves with industry leading software and hardware to maximize experiential learning beyond the classroom.
A lot of work in this industry is done on cars especially developed for self-driving purpose but we have been able to learn and modify the mechanism to transform a golf-cart, little beetle into a machine built for autonomy. The most exciting aspect in our field is that there is no industry standard for self-driving cars. We are at a breakthrough point where we come up with unique ideas and execute them accordingly to form a product that can revolutionize the automotive industry.
Methods & Technology
- Artificial and Augmented Intelligence
- Deep & Machine Learning
- Neural Networks
- Computer Vision
- Zed Stereo Cameras
- LIDARs
- Nvidia GPUs
- Linear Actuators
- Kangaroo and Sabertooth Microcontrollers
- Arduino
- RADARs
- GPS
- Control Theory
- Unity game engine
- Encoders
Subteams
- Software: Perception (Computer Vision)
- Software: Planning and Control
- Hardware: Electrical Systems
- Hardware: Mechanical Design
- Operations: Sponsorship & Public Relations
- Operations: Digital Marketing
- Operations: Business Management
Areas of Interest
- Business and Technology Management
- Computer Science and Engineering
- Electrical and Computer Engineering
- Integrated Digital Media
- Mechanical and Aerospace Engineering
- All majors are welcome!
Partners
- NYU Tandon School of Engineering
- NYU Stern
- Center for Cybersecurity
- AI Now Institute
- NYU Center for Data Science
- NYU Courant Institute of Mathematical Sciences