TILoc: Improving the Robustness and Accuracy for Fingerprint-Based Indoor Localization
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.2964875
Abstract: In WLAN fingerprint-based indoor localization, signal noise in the measurement of received signal strength indicator (RSSI) often results in matching a set of disperse reference points (RPs), leading to unsatisfactory estimation and weak robustness. To… read more here.
Keywords: fingerprint based; indoor localization; based indoor; robustness accuracy ... See more keywords
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3240930
Abstract: Adversarial training (i.e., training on adversarially perturbed input data) is a well-studied method for making neural networks robust to potential adversarial attacks during inference. However, the improved robustness does not come for free but rather… read more here.
Keywords: robot learning; adversarial training; robustness accuracy; robot ... See more keywords