TY  - BOOK
AU  - Pérez González,Rodrigo
TI  - Deep Learning Methods for Automotive Radar Signal Processing
SN  - 9783736964624
AV  - TK6575 .P749 2021 
U1  - 616 
PY  - 2021///
CY  - Göttingen
PB  - Cuvillier Verlag
KW  - Radar
KW  - Electronic books
N1  - Intro -- 1 Introduction -- 1.1 Goals and Contents of this Work -- 2 Radar Fundamentals -- 2.1 Continuous Wave Radar -- 2.2 Mono-Frequent Continuous Wave Radar -- 2.3 Linear Frequency Modulated Continuous WaveRadar -- 2.4 Chirp Sequence Frequency Modulated ContinuousWave Radar -- 2.5 Target Detection -- 2.6 Phased Arrays -- 2.7 Radar System Considerations -- 3 Machine Learning Fundamentals -- 3.1 Supervised Learning -- 3.2 Artificial Neural Networks -- 3.3 Training of Artificial Neural Networks -- 3.5 Loss Functions -- 3.6 Evaluation Metrics -- 4 Classification of Vulnerable RoadUsers -- 4.1 The Micro-Doppler Effect -- 4.2 Single Frame Vulnerable Road Users Classification -- 4.3 Joint Lidar and Radar Classification System -- 4.4 Concluding Remarks -- 5 Deep Learning Based Radar TargetDetection -- 5.1 Detection in Frequency Domain -- 5.2 Time Domain Detection -- 5.3 Concluding Remarks -- 6 Conclusion -- 6.1 Outlook -- Symbols -- Acronyms -- Bibliography -- Own Publications
UR  - https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=6685229
ER  -