Every year 1.3 million people around the world die in road crashes according to the World Health Organization. More than 20% of these fatalities are estimated to be alcohol-related – a global problem that demands comprehensive solutions.
Driven by technical enhancements in Artificial Intelligence (AI) and global regulatory efforts Driver Monitoring Systems (DMS) are fast becoming a leading human-centered automotive safety system. Initially focused on detecting distracted and drowsy driving, the foundations of these systems may offer keys to detecting and mitigating driver impairment.
Today the prevalent measure to determine alcohol intoxication – Blood Alcohol Concentration (BAC) – is a standard that was developed decades ago. Critical research is being conducted by government bodies, the automotive industry, technology companies and academia to determine more effective approaches. This event will explore the state of alcohol intoxication research and opportunities to leverage evolving DMS technology to enhance road safety.
What is the state of the art in impairment detection? Can we do more to mitigate harm with advanced technologies that exist today? What are the technological, societal and political challenges that will need to be overcome? When we will get there?
– Why are car manufacturers hesitant to deploy advanced technologies to detect alcohol intoxication?
– Where is intoxication research focused today?
– What new sensors and technologies look most promising?
– Is it feasible to detect intoxication with in-cabin cameras and AI-based algorithms?
– How should the industry collect drunk driving data to fuel machine learning?
– Are there other impairments that can be detected through synergistic approaches?
– What limits are there to the implementation of life saving technology?