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Fault Tolerant Platform for Communication and Distance Measurement in Highly Automated Driving

机译:高度自动化驾驶中用于通讯和测距的容错平台

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The dream towards fully autonomous vehicles brings a lot of challenges in terms of reliability, high performance computing and sensing capabilities in a vehicle. Nowadays, autonomous vehicles are equipped with several sensors, which allow the vehicle to sense everything on the road and to collect the information needed to drive safely. Altogether, these sensors generate a lot of data, roughly 4TB in a single day [1]. In order to process this abundance of sensory data faster and reliably, there is a need for high performance microcontroller units (MCUs) and fault tolerant data processing respectively. For this reason, we have developed a smart reconfigurable sensor (SRS) platform, which aims to solve the challenges of high performance computing and safety. An in-house fabricated entire silicon-based millimeter-wave transceiver, using IHP's 130 nm SiGe BiCMOS technology, is used as SRS front-end and software (SW) based triple modular redundancy (TMR) system is implemented for fault tolerant radar data processing. Our highly adaptive system supports fault tolerant modes (i.e. fail operational, fail safe), low power mode and distributed execution of tasks among different cores, all while meeting the strict automotive standards.
机译:全自动驾驶汽车的梦想在车辆的可靠性,高性能计算和传感能力方面带来了许多挑战。如今,自动驾驶汽车配备了多个传感器,这些传感器使汽车可以感知道路上的所有事物并收集安全驾驶所需的信息。这些传感器总共产生大量数据,一天之内大约有4TB的数据[1]。为了更快,更可靠地处理大量的传感数据,分别需要高性能微控制器单元(MCU)和容错数据处理。因此,我们开发了一个智能可重构传感器(SRS)平台,旨在解决高性能计算和安全性方面的挑战。使用IHP的130 nm SiGe BiCMOS技术在内部制造的整个基于硅的毫米波收发器用作SRS前端,并实现了基于软件(SW)的三重模块冗余(TMR)系统,用于容错雷达数据处理。我们的高度自适应系统支持容错模式(即故障操作,故障安全),低功耗模式以及在不同内核之间分布式执行任务,同时满足严格的汽车标准。

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