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ADBench: benchmarking autonomous driving systems
Computing ( IF 3.3 ) Pub Date : 2021-07-12 , DOI: 10.1007/s00607-021-00975-1
Hamid Tabani 1 , Joan Moya 1 , Jaume Abella 1 , Francisco J. Cazorla 1 , Roger Pujol 2 , Miguel Alcon 2
Affiliation  

Driven by the improvements in a variety of domains, autonomous driving is becoming a reality and today, industry aims at moving toward fully autonomous vehicles. High-tech chip manufacturers are designing high-performance and energy-efficient platforms in accordance with safety standard requirements. However, the software used to implement advanced functionalities in autonomous vehicles challenges real-time constraints on those platforms. Hence, there is a clear need for industry-level autonomous driving benchmarks to evaluate platforms and systems. In this paper, we propose ADBench, a benchmarking approach and benchmark suite for state-of-the-art autonomous driving platforms, in accordance with the key modules, structural design and functions of AD systems, building on several industry-level autonomous driving systems. The use of standard benchmarks facilitates the design, verification and validation process of autonomous systems.



中文翻译:

ADBench:自动驾驶系统基准测试

在各个领域的改进推动下,自动驾驶正在成为现实,如今,行业的目标是向完全自动驾驶汽车迈进。高科技芯片制造商正在按照安全标准要求设计高性能和节能的平台。然而,用于在自动驾驶汽车中实现高级功能的软件对这些平台的实时限制提出了挑战。因此,显然需要行业级自动驾驶基准来评估平台和系统。在本文中,我们根据 AD 系统的关键模块、结构设计和功能,在多个行业级自动驾驶系统的基础上,提出了 ADBench,一种用于最先进自动驾驶平台的基准测试方法和基准测试套件.

更新日期:2021-07-13
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