Where's Waldo?

Pat, Barak; Kanza, Yaron

doi:10.1145/3139958.3139962

Cited by 7 publications

(2 citation statements)

References 22 publications

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“…[Bouros et al, 2012] propose different spatial-index-based algorithms. [Pat and Kanza, 2017] focuses towards the problem of geosocial search over geotagged posts. [Pat and Kanza, 2017] introduces a novel two-step search process of (i) quickly finding relevant areas by using an arbitrarily indexed partition of the space, and (ii) applying clustering to the geotagged posts in the discovered areas, to present more accurate results.…”

Section: Technical Challenges and State Of The Artmentioning

confidence: 99%

Teaching Artificial Intelligence and Machine Learning to "Everyone Else"

Locke,

Rainer

2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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This paper investigates both from an empirical and a systems-based perspective, how surrounding textual information can be leveraged towards the mitigation of Autonomous Vehicle (AV) and self-driving cars Global Positioning System (GPS) signal spoofing attacks. The paper presents and proposes methods of how AVs and self-driving cars can extract, as they travel along a trajectory, surrounding textual information through machine-learning based Scene Text Recognition (STR). The paper researches and proposes geospatial models which can be applied to the extracted textual information in order to build a text-based geolocation system for the purposes of validating the received GPS signal. The ultimate contribution of the paper is to lay the groundwork towards enhancing the Cybersecurity of the current and future Autonomous Vehicle and self-driving car ecosystem by addressing its Achilles heel, namely insecure and inaccurate geolocation due to GPS spoofing attacks.

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Section: Technical Challenges and State Of The Artmentioning

confidence: 99%

Teaching Artificial Intelligence and Machine Learning to "Everyone Else"

Locke,

Rainer

2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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show abstract

“…Thus, they do not support more complex OLAP-style analytical tasks, which we do. There are methods that solve a very specific task for a specific type of data [2,21,28]. These methods are fundamentally different from STTCube because STTCube provides a generic framework for a wide range of STT analytics over different kinds of STT data sources, including, but not limited to, geo-tagged tweets.…”

Section: Related Workmentioning

confidence: 99%