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Real-time Camera Image Processing for Autonomous Vehicles

自駕車即時影像處理

摘要


Autonomous vehicles process immense amounts of data and they have to do it in real-time. There are dimensional, energy and thermal limitations on the amount of computation which reasonably can be placed in a typical sedan or minivan. Out of this contradiction various design compromises emerge. This article reveals some specific challenges and idiosyncrasies; looks into some important design choices and how they define the overall system architecture; argues the importance of a camera interface; talks about the benefits and perils of using video compression; attempts to define some useful video-related software abstractions; points out a qualitative-changing role of hardware timestamps; describes advantages HDR-cameras bring and shows associated computational burden.

關鍵字

Autonomous vehicle Real-time camera HDR camera GigE H.26x NPP

並列摘要


自動駕駛車處理大量數據且必須實時處理。在典型的轎車或廂式休旅車中,計算量存在尺寸、能量和熱量方面的限制。出於這一矛盾,各種設計折衷方案因應而生。本文介紹其中的一些方案:揭示具體的挑戰和特性;探討一些重要的設計選擇以及它們如何定義整體系統架構;討論攝影機介面的重要性;談論使用視訊壓縮的好處和風險;試圖定義一些有用的與視訊相關的影像摘要;指出硬體時戳的質變角色;描述HDR攝影機帶來的優勢,並展示了相關的計算負擔。

參考文獻


https://en.wikipedia.org/wiki/Real-time
https://en.wikipedia.org/wiki/Field_of_view
https://en.wikipedia.org/wiki/Frame_rate
https://en.wikipedia.org/wiki/Rolling_shutter
https://www.baslerweb.com/en/products/tools/interface-advisor

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