Multiple-output network for simultaneous target classification and moving direction estimation in automotive radar systems
H Lee, S Kwak, S Lee - Expert Systems with Applications, 2025 - Elsevier
To ensure the stable operation of autonomous driving, a rich understanding of road
conditions is indispensable. Therefore, in this paper, we propose a method that uses a …
conditions is indispensable. Therefore, in this paper, we propose a method that uses a …
DNN-based Legibility Improvement for Air-writing in Millimeter-wave Band Radar System
S Kwak, C Park, S Lee - IEEE Transactions on Instrumentation …, 2023 - ieeexplore.ieee.org
In radar-based air-writing, continuous measurements of hand movements may result in the
addition of unnecessary strokes for certain characters or digits (eg, 4 and 5), making it …
addition of unnecessary strokes for certain characters or digits (eg, 4 and 5), making it …
DeepSample: DNN sampling-based testing for operational accuracy assessment
Deep Neural Networks (DNN) are core components for classification and regression tasks of
many software systems. Companies incur in high costs for testing DNN with datasets …
many software systems. Companies incur in high costs for testing DNN with datasets …