UIC EDT

AIR

Autonomous Drones for the SUAS Competetion

Performance Specs Resources

Navigating Tomorrow's Skies Today

Advanced Airframe and Aerodynamic Design
Crafting custom carbon fiber frames and aerodynamic composite structures to ensure lightweight, durable, and efficient flight.
Intelligent Sensing and Autonomous Control
Integrating smart sensors with onboard data processing for real-time environmental awareness, target tracking, and mapping. Custom control algorithms enable precise navigation, obstacle avoidance, and mission safety under dynamic conditions.
Mission-Ready Payloads and Avionic Systems
Designing and testing payload systems tailored to specific mission needs while developing robust avionics solutions for seamless communication, control, and power management throughout each flight.

Flight Videos

Autonomous Flight Test

Payload Drop Demo

Performance Specifications

45 mph
Top Speed
1:23.5
Lap Time
< 50ms
Reaction Time
98.5%
Accuracy

Advanced Technology

Computer Vision System

Real-time detection and boundary recognition using deep learning.

  • YOLO v8 for detection
  • Lane detection
  • Obstacle avoidance

Control Systems

Precision motor & steering control optimized for racing.

  • PID control
  • Servo precision
  • Electronic speed control

Sensor Integration

Multi-sensor fusion for awareness.

  • LiDAR
  • IMU
  • GPS

Racing Algorithms

Optimized strategies and predictive modeling.

  • Racing line optimization
  • Overtaking strategies
  • Predictive models

Technology Stack

Computer Vision
OpenCV, YOLO
Path Planning
ROS, A*
Speed Control
PID
Sensors
LiDAR, IMU, GPS

Team Leadership

Drew Anderson
Captain — Senior
Morgan Lee
AI/ML Lead — Junior
Parker Davis
Hardware Lead — Senior
Avery Wilson
Testing — Sophomore

Resources & Downloads

AI Model Docs

Architectures & training.

PDF

Hardware Specs

Components + assembly.

ZIP

Competition Results

Race analysis & data.

View