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Fast Deformable Registration on the GPU: A CUDA Implementation of Demons
TLDR
In the medical imaging field, we need fast deformable registration methods especially in intra-operative settings characterized by their time-critical applications. Expand
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Feature-based speed limit sign detection using a graphics processing unit
TLDR
In this study we test the idea of using a graphics processing unit (GPU) as an embedded co-processor for real-time detection of European Union (EU) speed-limit signs. Expand
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Benchmarking Deep Learning Frameworks and Investigating FPGA Deployment for Traffic Sign Classification and Detection
TLDR
We benchmark several widely-used deep learning frameworks and investigate the field programmable gate array (FPGA) deployment for performing traffic sign classification and detection. Expand
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A Template-Based Approach for Real-Time Speed-Limit-Sign Recognition on an Embedded System Using GPU Computing
TLDR
We present a template-based pipeline that performs realtime speed-limit-sign recognition using an embedded system with a lowend GPU as the main processing element. Expand
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Multitasking Real-time Embedded GPU Computing Tasks
TLDR
In this study, we consider the specific characteristics of workloads that involve multiple real-time embedded GPU computing tasks and design several schedulers that use alternative approaches. Expand
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A Hands-On Cross-Platform Mobile Programming Approach to Teaching OOP Concepts and Design Patterns
TLDR
This study explores the learning outcomes of utilizing a hands-on cross-platform mobile programming approach for introducing two important software engineering topics, namely, object-oriented programming (OOP) concepts and design patterns. Expand
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Don’t Be Surprised: I See Your Mobile App Stealing Your Data
TLDR
To detect the potential malicious mobile applications that may cause data leakages, this paper1 proposes to take advantage of the attack-neutral and hard-to-avoid system calls of the mobile system, reconstructing an activity graph for each application to reflect its interactions with the system. Expand
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FPGA versus GPU for Speed-Limit-Sign Recognition
TLDR
We implement a speed-limit-sign recognition task using a template-based approach on the FPGA using the Intel FFPA SDK for OpenCL. Expand
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Situated robot design with prioritized constraints
TLDR
The constraint-based agent (CBA) framework with prioritized constraints is a simple and effective methodology for designing and building situated robots. Expand
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Methods for multitasking among real‐time embedded compute tasks running on the GPU
TLDR
In this study, we provide an extensive survey on wide spectrum of scheduling methods for multitasking among graphics processing unit (GPU) computing tasks. Expand
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