Name
Abstract | ||
|---|---|---|
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.
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Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/s00607-021-00975-1 | Computing |
Keywords | DocType | Volume |
Benchmarking, Autonomous driving systems, Safety-critical systems, 68M20, 68M15 | Journal | 104 |
Issue | ISSN | Citations |
3 | 0010-485X | 0 |
PageRank | References | Authors |
0.34 | 3 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hamid Tabani | 1 | 0 | 0.34 |
| Roger Pujol | 2 | 0 | 0.34 |
| Miguel Alcon | 3 | 0 | 0.34 |
| Joan Moya | 4 | 0 | 0.34 |
| Jaume Abella | 5 | 1 | 1.42 |
| Francisco J. Cazorla | 6 | 1304 | 95.50 |