Titlebook: Algorithm & SoC Design for Automotive Vision Systems; For Smart Safe Drivi Jaeseok Kim,Hyunchul Shin Book 2014 Springer Science+Business Me

不真

Irene Nagel-Jachmann,Uwe Schirmercore system. To overcome these limitations, we aims to implement hardware which achieve more than 90 frames per second in full HD resolution (1080p) only with 30 % of logic gates compared to the state-of-the-art object recognition processors. In this chapter, we introduces three techniques to design

背带

https://doi.org/10.1007/978-3-658-38012-0e SoC is described. The automotive SoC consists of multiple processors, a customized vision process engine for an automotive vision system and peripheral. Each component of the SoC is mapped to the AUTOSAR layered architecture, such as MCAL, ECU abstraction and CCD.

疾驰

ion, image enhancement and object detections from the images captured by low-cost vehicle camera. This is followed by implementation issues such as SoC architecture, hardware accelerator, software development e978-94-024-0114-1978-94-017-9075-8

insolence

Book 2014ving systems. It introduces a variety of algorithms such as lens correction, super resolution, image enhancement and object detections from the images captured by low-cost vehicle camera. This is followed by implementation issues such as SoC architecture, hardware accelerator, software development e

Conclave

Algorithm & SoC Design for Automotive Vision SystemsFor Smart Safe Drivi

debacle

极为愤怒

https://doi.org/10.1007/978-3-031-24271-7ion avoidance. Some industrial developments and major functional blocks of ADAS are also introduced. We have focused on the camera vision-based systems, which are very popular mainly because of their low development costs and very diverse potential applications. The system-on-chip (SoC) architecture

Thyroid-Gland

STRIA

信徒

https://doi.org/10.1007/978-3-031-24271-7iables that degrade the quality of the image captured from the camera, such as fog, rain, a sudden change of illumination, or lack of illumination. If the quality of the obtained image is degraded, object recognition (cars, pedestrians, fixed objects, and traffic signals) can be unsatisfactory. To i