CertainNet: Sampling-free uncertainty estimation for object detection

S Gasperini, J Haug, MAN Mahani… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Estimating the uncertainty of a neural network plays a fundamental role in safety-critical
settings. In perception for autonomous driving, measuring the uncertainty means providing …
被引用次数：22 相关文章

CertainNet: Sampling-free Uncertainty Estimation for Object Detection

S Gasperini, J Haug, MAN Mahani… - arXiv preprint arXiv …, 2021 - arxiv.org
Estimating the uncertainty of a neural network plays a fundamental role in safety-critical
settings. In perception for autonomous driving, measuring the uncertainty means providing …

CertainNet: Sampling-free Uncertainty Estimation for Object Detection

S Gasperini, J Haug, MA Nikouei Mahani… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Estimating the uncertainty of a neural network plays a fundamental role in safety-critical
settings. In perception for autonomous driving, measuring the uncertainty means providing …

CertainNet: Sampling-free Uncertainty Estimation for Object Detection

S Gasperini, J Haug, MAN Mahani… - IEEE Robotics and …, 2021 - mediatum.ub.tum.de
Estimating the uncertainty of a neural network plays a fundamental role in safety-critical
settings. In perception for autonomous driving, measuring the uncertainty means providing …
[PDF] researchgate.net

[PDF][PDF] CertainNet: Sampling-free Uncertainty Estimation for Object Detection

S Gasperini, J Haug, MANMA Marcos, RNNB Busam… - researchgate.net
Estimating the uncertainty of a neural network plays a fundamental role in safety-critical
settings. In perception for autonomous driving, measuring the uncertainty means providing …