Titel

Merkliste
1 Ergebnisse

Raspberry Pi-Based Driver Drowsiness Detection:

, In: 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT),

Peddarapu, Rama Krishna ; Likhita, Basuthkar ; Monika, Desireddy.. - p. 864-869 , 2024

Link: https://doi.org/10.1109/IC2PCT60090.2024.10486677

RT 
T1 <cTitle>2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)</cTitle>: T1 <Title>Raspberry Pi-Based Driver Drowsiness Detection</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10486677&Exemplar=1&LAN=DE
				
A1 Peddarapu, Rama Krishna
A1 Likhita, Basuthkar
A1 Monika, Desireddy
A1 Paruchuru, Sai Preeti
A1 Kompella, Sri Lasya
YR 2024
K1 Performance evaluation
K1 Mouth
K1 Fatigue
K1 Road safety
K1 Stability analysis
K1 Real-time systems
K1 Sensors
K1 Drowsiness detection
K1 road safety
K1 driver alertness
K1 computer vision
K1 machine learning
K1 Raspberry Pi
K1 real-time detection
K1 sleepiness indicators
K1 facial analysis
K1 eye tracking
K1 EAR (Eye-Aspect-Ratio)
K1 MAR (Mouth Aspect Ratio)
K1 Haar cascades
K1 driver monitoring
K1 accidents prevention
K1 deep learning
K1 yawn detection
K1 safety alarm
K1 false positive reduction
K1 facial landmarks
SP 864
OP 869
LK http://dx.doi.org/https://doi.org/10.1109/IC2PCT60090.2024.10486677
DO https://doi.org/10.1109/IC2PCT60090.2024.10486677
SF ELIB - SuUB Bremen

Export

RefWorks (nur Desktop-Version!)
Flow (Zuerst in Flow einloggen, dann importieren)