EVE: A Flexible SIMD Coprocessor for Embedded Vision Applications

Sankaran, Jagadeesh; Hung, Ching-Yu; Kisačanin, Branislav

doi:10.1007/s11265-013-0770-2

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…The Texas Instruments' Embedded Vision Engine (EVE) [7] is a vector processor capable of addressing the challenging requirements of the ADAS space in a low power budget. In section VII of this white paper we discuss the TDA2x SOCs from TI which can contain multiple instances of the EVE processor.…”

Section: IImentioning

confidence: 99%

“…The processors and accelerators on the TDA2x are coupled with large internal memories and a highthroughput inter-connect to enable it to provide the high performance and low latency necessary for safety critical ADAS applications. The figure-10 below shows a block diagram of the TDA2x superset SOC Figure-10: TDA2x SOC At the heart of the TDA2x SOC is the Vision Acceleration Pac with up to four instances of EVE coprocessor [7]. The figure-11 below shows a high level block diagram of the EVE coprocessor.…”

Section: Tda2x Socsmentioning

confidence: 99%

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Trends in camera based Automotive Driver Assistance Systems (ADAS)

Dabral

Kamath

Appia

et al. 2014

2014 IEEE 57th International Midwest Symposium on Circuits and Systems (MWSCAS)

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Advance Driver Assistance Systems (ADAS), once limited to high end luxury automobiles are fast becoming popular with Mid and entry level segments driven in part by legislation coming in to effect in the latter part of this decade. These systems require support for a wide variety of applications, from surround-view visual systems to safety critical vision applications (eg Pedestrian Detect, automatic braking etc). In this white paper we describe some of the existing and emerging trends and applications in each of these segments along with the requirements and motivations for each of these features. We also highlight TI's automotive class TDA2x device, a state of the art automotive grade device capable of handling complex ADAS applications within a low power and cost budget.

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Section: IImentioning

confidence: 99%

Section: Tda2x Socsmentioning

confidence: 99%