EcoFusion: energy-aware adaptive sensor fusion for efficient autonomous vehicle perception
EcoFusion: energy-aware adaptive sensor fusion for efficient autonomous vehicle perception
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EcoFusion:能量感知自适应传感器融合,实现高效的自动驾驶车辆感知
DOI:
10.1145/3489517.3530489
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Faruque, Mohammad Abdullah
中科院分区:
文献类型:
--
作者:
Malawade, Arnav Vaibhav;Mortlock, Trier;Faruque, Mohammad Abdullah
Autonomous vehicles use multiple sensors, large deep-learning models, and powerful hardware platforms to perceive the environment and navigate safely. In many contexts, some sensing modalities negatively impact perception while increasing energy consumption. We proposeEcoFusion: an energy-aware sensor fusion approach that uses context to adapt the fusion method and reduce energy consumption without affecting perception performance. EcoFusion performs up to 9.5% better at object detection than existing fusion methods with approximately 60% less energy and 58% lower latency on the industry-standard Nvidia Drive PX2 hardware platform. We also propose several context-identification strategies, implement a joint optimization between energy and performance, and present scenario-specific results.
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DOI:
10.1145/2228360.2228549
发表时间:
2012
期刊:
DAC Design Automation Conference 2012
影响因子:
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作者:
Ivan Beretta;F. Rincón;N. Khaled;P. Grassi;V. Rana;David Atienza Alonso
通讯作者:
David Atienza Alonso
DOI:
10.1145/2897937.2905005
发表时间:
2016
期刊:
2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC)
影响因子:
--
作者:
Shreyas Sen
通讯作者:
Shreyas Sen
DOI:
10.3390/s20195706
发表时间:
2020-10-07
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
作者:
Lee S;Lee D;Choi P;Park D
通讯作者:
Park D
DOI:
10.3390/s150923020
发表时间:
2015-09-11
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
作者:
Bradley JM;Atkins EM
通讯作者:
Atkins EM
DOI:
10.1145/3477006
发表时间:
2021-07
期刊:
ACM Transactions on Embedded Computing Systems (TECS)
影响因子:
--
作者:
A. Malawade;Mohanad Odema;Sebastien Lajeunesse-DeGroot;M. A. Al Faruque
通讯作者:
A. Malawade;Mohanad Odema;Sebastien Lajeunesse-DeGroot;M. A. Al Faruque