Optimization and regularization techniques in androcar design Andromobil Tasariminda Optimizasyon ve Regülarizasyon Teknikleri
27th Signal Processing and Communications Applications Conference, SIU 2019, Sivas, Türkiye, 24 - 26 Nisan 2019, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/siu.2019.8806466
- Basıldığı Şehir: Sivas
- Basıldığı Ülke: Türkiye
- Anahtar Kelimeler: Androcars, Autonomous cars, Computer vision, Convolutional neural networks, Optimization, Regularization, Robocars, Self driving cars
- Boğaziçi Üniversitesi Adresli: Evet
Özet
Despite their prolonged history, Androcars (Robocars, Self Driving Cars, Autonomous Cars) only until recent decades gained substantial advances in parallel to the developments in computer vision and machine learning applications. In particular, we saw striking developments in the last twenty years. Today androcars are running their test drives on the public roads. In this text, we discuss the effect of different optimization and regularization techniques in convolutional neural networks applied to androcar design.