Mark Adam Ang

National University of Singapore, Singapore-MIT Alliance for Research and Technology

Papers

Total Citations

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About

Mark Adam Ang is a pioneering researcher in human-autonomous vehicle interaction, specializing in pedestrian safety and communication systems for self-driving cars. His work centers on developing intuitive notification methods that bridge the trust gap between autonomous vehicles and pedestrians, particularly in multi-class mobility-on-demand services. Ang’s most influential contribution, the 2016 paper “Pedestrian Notification Methods in Autonomous Vehicles for Multi-Class Mobility-on-Demand Service” (54 citations), introduces LED-based visual cues that allow self-driving vehicles to convey their perception and motion intentions to surrounding pedestrians. This research fundamentally reimagines autonomous vehicles as social robots, enhancing pedestrian engagement and trust through transparent communication. His earlier 2015 work on self-driving golf carts (6 citations) laid the groundwork for these concepts, demonstrating how Light-Emitting Diodes can signal pedestrian awareness. Ang’s innovative approach addresses a critical challenge in autonomous vehicle deployment: ensuring that pedestrians can safely and confidently interact with driverless cars. By prioritizing human-centered design in autonomous systems, his research has influenced both academic discourse and practical vehicle-to-pedestrian communication standards, making him a key figure in the emerging field of autonomous vehicle social interaction.