6 citations · 22 across the 8 of their papers we have counts for
10 papers
More than just a Tool: People's Perception and Acceptance of Prosocial Delivery Robots as Fellow Road Users
Vivienne Bihe Chi, Elise Ulwelling, Kevin Salubre +3
Service robots are increasingly deployed in public spaces, performing functional tasks such as making deliveries. To better integrate them into our social environment and enhance t…
Can we enhance prosocial behavior? Using post-ride feedback to improve micromobility interactions
Sidney T. Scott-Sharoni, Shashank Mehrotra, Kevin Salubre +3
Micromobility devices, such as e-scooters and delivery robots, hold promise for eco-friendly and cost-effective alternatives for future urban transportation. However, their lack of…
Driving Anomaly Detection Using Conditional Generative Adversarial Network
Yuning Qiu, Teruhisa Misu, Carlos Busso
Anomaly driving detection is an important problem in advanced driver assistance systems (ADAS). It is important to identify potential hazard scenarios as early as possible to avoid…
Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism
Haibei Zhu, Teruhisa Misu, Sujitha Martin +2
Situation awareness (SA) is generally considered as the perception, understanding, and projection of objects' properties and positions. We believe if the system can sense drivers'…
Grounding Human-to-Vehicle Advice for Self-driving Vehicles
Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen +2
Recent success suggests that deep neural control networks are likely to be a key component of self-driving vehicles. These networks are trained on large datasets to imitate human a…
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data
Vidyasagar Sadhu, Teruhisa Misu, Dario Pompili
Corner cases are the main bottlenecks when applying Artificial Intelligence (AI) systems to safety-critical applications. An AI system should be intelligent enough to detect such s…