This course aims to teach learners about a conversational in-vehicle digital assistant designed to enhance driver understanding and usability of Advanced Driver Assistance Systems (ADAS). The course covers the goal of assisting drivers through features like lane keeping and adaptive cruise control, addressing the lack of familiarity and intuitive interfaces for ADAS features. Learners will acquire skills in interacting with the digital assistant using natural language commands and questions, which are processed in real-time using advanced machine learning techniques. The teaching method involves presenting the effectiveness of the system through results obtained from a production vehicle. This course is intended for individuals interested in improving their understanding and utilization of ADAS features in vehicles.
Adasa - A Conversational In-Vehicle Digital Assistant for Advanced Driver Assistance Features
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Adasa: A Conversational In-Vehicle Digital Assistant for Advanced Driver Assistance Features
Taught by
ACM SIGCHI