3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2019
Realistic Ultrasonic Environment Simulation Using Conditional Generative Adversarial Networks
Maximilian Pöpperl, Raghavendra Gulagundi, Senthil Yogamani +1
Recently, realistic data augmentation using neural networks especially generative neural networks (GAN) has achieved outstanding results. The communities main research focus is vis…
cs.CV2019★ 3 cited
Capsule Neural Network based Height Classification using Low-Cost Automotive Ultrasonic Sensors
Maximilian Pöpperl, Raghavendra Gulagundi, Senthil Yogamani +1
High performance ultrasonic sensor hardware is mainly used in medical applications. Although, the development in automotive scenarios is towards autonomous driving, the ultrasonic…