An analysis of software latency for a high-speed autonomous race car—a case study in the indy autonomous challenge

T Betz, P Karle, F Werner, J Betz - SAE International Journal of Connected …, 2023 - sae.org
Autonomous driving faces the difficulty of securing the lowest possible software execution
times to allow a safe and reliable application. One critical variable for autonomous vehicles …

Performance modeling of heterogeneous HW platforms

F Rehm, D Dasari, A Hamann, M Pressler… - Microprocessors and …, 2021 - Elsevier
The push towards automated and connected driving functionalities mandates the use of
heterogeneous hardware platforms in order to provide the required computational …

EASYR: E nergy-Efficient A daptive Sy stem R econfiguration for Dynamic Deadlines in Autonomous Driving on Multicore Processors

S Yi, TW Kim, JC Kim, N Dutt - ACM Transactions on Embedded …, 2023 - dl.acm.org
The increasing computing demands of autonomous driving applications have driven the
adoption of multicore processors in real-time systems, which in turn renders energy …

AutoRS: Environment-dependent real-time scheduling for end-to-end autonomous driving

J Ma, L Li, C Xu - IEEE Transactions on Parallel and Distributed …, 2023 - ieeexplore.ieee.org
The rapid development of autonomous driving poses new research challenges for on-
vehicle computing system. The execution time of autonomous driving tasks heavily depends …

Energy-Efficient adaptive system reconfiguration for dynamic deadlines in autonomous driving

S Yi, TW Kim, JC Kim, N Dutt - 2021 IEEE 24th International …, 2021 - ieeexplore.ieee.org
The increasing computing demands of autonomous driving applications make energy
optimizations critical for reducing battery capacity and vehicle weight. Current energy …

HCPerf: Driving performance-directed hierarchical coordination for autonomous vehicles

J Ma, L Li, Z Wang, J Wang, C Xu - 2023 IEEE 43rd …, 2023 - ieeexplore.ieee.org
The rapid development of autonomous driving poses new research challenges to the on-
vehicle computing system. In particular, the execution time of autonomous driving tasks …

[HTML][HTML] Using MAST for modeling and response-time analysis of real-time applications with GPUs

I Gomez, UD de Cerio, J Parra, JM Rivas… - Journal of Systems …, 2024 - Elsevier
The ever increasing computing demands in embedded systems is driving the adoption of
hardware accelerators such as GPUs, which offer powerful platforms that can compute …

Model-based timing analysis and deployment optimization for heterogeneous multi-core systems using eclipse APP4MC

L Krawczyk, M Bazzal… - 2019 ACM/IEEE 22nd …, 2019 - ieeexplore.ieee.org
The complexity of future automotive software will lead to an intricate and unforeseen impact
of product and project decisions on systems level, even in late development phases. To …

Complex event models for automotive embedded systems

L Krawczyk, M Bazzal, H Mackamul, R Weber… - Journal of Systems …, 2022 - Elsevier
The adherent need for computational power in highly automated driving will lead to fewer
control units with larger computational power, eventually replacing a large number of a …

Uso de GPUs en aplicaciones de tiempo real: Una revisión de técnicas para el análisis y optimización de parámetros temporales

I Gomez, U Díaz de Cerio, J Parra, JM Rivas… - … de Automática e …, 2023 - riunet.upv.es
[ES] La conducción autónoma despierta un interés cada vez mayor en la industria, no solo
en el sector de la automoción, sino también en el transporte de personas o mercancías por …