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Conference papers
Intelligent Vehicle Perception: Toward the Integration on Embedded Many-core
Abstract : Intelligent vehicles (IVs) need a perception system to model the surrounding environment. The Hybrid Sampling Bayesian Occupancy Filter (HSBOF) is a perception algorithm monitoring a grid-based model of the environment called " occupancy grid ". It is a highly data-parallel algorithm and requires a high computational performance to be executed in reasonable time. It is currently implemented in CUDA on a NVIDIA GPU. However, the GPU is power consuming and its purchase cost is too high for the embedded market. In this paper, we prove that, the couple embedded many-core/OpenCL is a feasible hardware/software architecture for replacing the GPU/CUDA. Our OpenCL implementation and experimental results on a testing hardware showed that a many-core can produce an occupancy grid every 168ms while consuming 40 times less power than the GPU. The results are promising for a future integration into IVs.
Cited literature [7 references]
https://hal-cea.archives-ouvertes.fr/cea-01199808
Contributor : Julien Mottin <>
Submitted on : Wednesday, September 16, 2015 - 11:17:36 AM
Last modification on : Monday, April 6, 2020 - 9:22:31 AM
Document(s) archivé(s) le : Tuesday, December 29, 2015 - 7:28:38 AM
Contributor : Julien Mottin <>
Submitted on : Wednesday, September 16, 2015 - 11:17:36 AM
Last modification on : Monday, April 6, 2020 - 9:22:31 AM
Document(s) archivé(s) le : Tuesday, December 29, 2015 - 7:28:38 AM
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