We invite sponsors and partners to join us in supporting our projects. Your contributions play a crucial role in advancing our work and achieving impactful outcomes. Additionally, if you have driving or simulation research and design needs, we are keen to explore collaboration opportunities or initiate new projects tailored to your goals. Please reach out to explore partnership opportunities and discover how you can contribute to making a difference.
Contact: Dr. Amir Momenipour at momenipo@rose-hulman.edu
Evaluating Driver-Bicycle Interactions in Autonomous Driving Systems: Integrating Multisensory Feedback to Enhance Trust and Safety
TBD
Integrate the autonomous driving system with visual, audible, and tactile displays to measure driver attention, information processing, reaction time, Takeover Request (TOR) responses, trust levels, and interactions, with a particular focus on driver and bicycle interaction within the system.
This phase of the research emphasizes the integration of visual, audible, and tactile displays into the autonomous driving system, with a special focus on how drivers interact with bicycles in various scenarios. The study will measure key human factors, including attention, information processing, reaction time, and response to Takeover Requests (TOR). Trust levels will be assessed, particularly in situations where drivers encounter bicycles. The research aims to understand how drivers respond to internal system elements (e.g., dashboard interfaces) and external cues (e.g., bicycles on the road), providing insights into improving the safety and reliability of autonomous driving technologies in environments where interactions with bicycles are common.
Forklift Safety and Efficiency: Enhancing Operational Precision Through Virtual Simulation Training
TBD
Design and develop a virtual training program to enhance the safety and efficiency of forklift drivers in a factory setting. This program will focus on improving situational awareness, response time, and operational precision through simulation-based training.
This project involves creating a training program for forklift drivers in a factory environment. The training will incorporate simulated scenarios that replicate real-world challenges faced by drivers, such as navigating tight spaces, managing loads of varying sizes and weights, and interacting with other factory personnel and machinery. The goal is to assess and enhance drivers' situational awareness, reaction time, and overall operational efficiency to reduce accidents, improve productivity, and ensure safe operation within the factory.