Runtime Virtual Lane Prediction Based on Inverse Perspective Transformation and Machine Learning for Lane Departure Warning in Low-Power Embedded Systems.
Sunghoon HongDaejin ParkPublished in: IST (2022)
Keyphrases
- embedded systems
- low power
- lane departure
- low cost
- lane detection
- machine learning
- hough transform
- power consumption
- driver assistance systems
- high speed
- real time
- processing power
- computing power
- lane markings
- digital camera
- low power consumption
- hardware and software
- cmos technology
- intelligent vehicles
- edge detector
- feature detection
- computer vision
- artificial intelligence
- reinforcement learning
- software systems
- detection algorithm
- flash memory
- field programmable gate array
- image processing
- video sequences
- ultra low power