ADBench: benchmarking autonomous driving systems
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...
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| Veröffentlicht in: | Computing 2022-03, Vol.104 (3), p.481-502 |
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| container_title | Computing |
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| creator | Tabani, Hamid Pujol, Roger Alcon, Miguel Moya, Joan Abella, Jaume Cazorla, Francisco J. |
| description | 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. |
| doi_str_mv | 10.1007/s00607-021-00975-1 |
| format | Article |
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| subjects | Artificial Intelligence Autonomous vehicles Benchmarks Computer Appl. in Administrative Data Processing Computer Communication Networks Computer Science Design standards Information Systems Applications (incl.Internet) Platforms Software Engineering Special Issue Article Structural design Systems analysis |
| title | ADBench: benchmarking autonomous driving systems |
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