185 citations · 224 across the 10 of their papers we have counts for
10 papers
LEAF + AIO: Edge-Assisted Energy-Aware Object Detection for Mobile Augmented Reality
Haoxin Wang, BaekGyu Kim, Jiang Xie +1
Today very few deep learning-based mobile augmented reality (MAR) applications are applied in mobile devices because they are significantly energy-guzzling. In this paper, we desig…
LiveMap: Real-Time Dynamic Map in Automotive Edge Computing
Qiang Liu, Tao Han, Jiang +2
Autonomous driving needs various line-of-sight sensors to perceive surroundings that could be impaired under diverse environment uncertainties such as visual occlusion and extreme…
Energy Drain of the Object Detection Processing Pipeline for Mobile Devices: Analysis and Implications
Haoxin Wang, BaekGyu Kim, Jiang Xie +1
Applying deep learning to object detection provides the capability to accurately detect and classify complex objects in the real world. However, currently, few mobile applications…
Architectural Design Alternatives based on Cloud/Edge/Fog Computing for Connected Vehicles
Haoxin Wang, Tingting Liu, BaekGyu Kim +4
As vehicles playing an increasingly important role in people's daily life, requirements on safer and more comfortable driving experience have arisen. Connected vehicles (CVs) can p…
Runtime-Safety-Guided Policy Repair
Weichao Zhou, Ruihan Gao, BaekGyu Kim +2
We study the problem of policy repair for learning-based control policies in safety-critical settings. We consider an architecture where a high-performance learning-based control p…
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction
Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru +1
Deep Neural Networks (DNNs) have tremendous potential in advancing the vision for self-driving cars. However, the security of DNN models in this context leads to major safety impli…
A Case Study of Trust on Autonomous Driving
Shili Sheng, Erfan Pakdamanian, Kyungtae Han +4
As autonomous vehicles have benefited the society, understanding the dynamic change of humans' trust during human-autonomous vehicle interaction can help to improve the safety and…
Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles
Ziran Wang, Kyuntae Han, BaekGyu Kim +2
Connected and automated vehicle (CAV) technology is one of the promising solutions to addressing the safety, mobility and sustainability issues of our current transportation system…
Agent-Based Modeling and Simulation of Connected and Automated Vehicles Using Game Engine: A Cooperative On-Ramp Merging Study
Ziran Wang, BaekGyu Kim, Hiromitsu Kobayashi +2
Agent-based modeling and simulation (ABMS) has been a popular approach to modeling autonomous and interacting agents in a multi-agent system. Specifically, ABMS can be applied to c…
Automatic Generation of Communication Requirements for Enforcing Multi-Agent Safety
Eric S. Kim, Murat Arcak, Sanjit A. Seshia +2
Distributed controllers are often necessary for a multi-agent system to satisfy safety properties such as collision avoidance. Communication and coordination are key requirements i…