Active Safety for Autonomous and SemiAutonomous Vehicles
Goals
The project aims to develop autonomous driving systems that mimic expert human drivers. Initially, it will monitor various drivers’ styles using a high-fidelity simulator to classify skill levels via graphical inference models. These models will inform control algorithms for maneuvers like lane changes or adaptive cruise control, tested on scaled autonomous platforms. Additionally, the project seeks to create proactive driving algorithms that can correct dangerous driver actions to avoid accidents. Ultimately, the goal is to design autonomous vehicles capable of safe high-speed driving and competitive racing by leveraging human-like and anticipatory driving strategies.
Issues Involved or Addressed
Develop autonomous and semi-autonomous vehicles that drive in a “natural” and safe manner. Understanding human driver behavior in traffic. Monitoring of driver actions and responses in traffic. Prediction of driver’s and vehicle’s intent. Adaptation of active safety system to current traffic situation, weather conditions, and state of driver. Real-time perception and decision making at short time scales for robotic vehicles.
Partners/Sponsors
Sandia National Laboratories
Methods and Technologies
- Robotic Ground Vehicles
- Microcontrollers
- GPU Processing
- Eye Tracking Devices
Majors Sought
Computing: Computer Science, Computer Science – Online MS
Engineering: Aerospace Engineering, Analytics – Online MS, Computer Engineering, Electrical Engineering, Industrial Engineering, Mechanical Engineering
Sciences: Psychology
Preferred Interests and Preparation
1) Programming experience in C/C++, python, ROS, Ubuntu
2) PCB design and electronics embedded controllers
3) Mechatronics and CAD design
AE – Background/interest in control, simulation, graphics, human factors
ME – Background/interest in control, simulation, graphics, human factors
EE, CmpE – Background/interest in embedded systems, digital processing, image storage and processing
CS – Background/interest in mobile app development, real-time programming, embedded control, human/machine interaction
PSYC – Background/interest in human in the loop experimentation, statistical analysis, interface design
ISyE – Background/interest in inferential statistics and statistical modeling, human factors, human integrated systems
Advisors
Panagiotis Tsiotras
Panagiotis Tsiotras
tsiotras@gatech.edu
Karen FeighAerospace Engineeringkaren_feigh@defaultemail.com
Day, Time & Location
Full Team Meeting:
1:00pm – 1:50pm Friday
Online
Subteam meetings scheduled after classes begin.