Show Me Once: A Transformer-Based Approach for an Assisted-Driving System

Operating a powered wheelchair involves significant risks and requires considerable cognitive effort to maintain effective awareness of the surrounding environment. Therefore, people with significant disabilities are at a higher risk, leading to a decrease in their social interactions, which can impact their overall health and well-being. Thus, we propose an intelligent driving-assistance system that innovatively uses Transformers, typically employed in Natural Language Processing, for navigation and a retrieval mechanism, allowing users to specify their destinations using natural language. The system records the areas visited and enables users to pinpoint these locations through descriptions, which will be considered later in the retrieval phase. Taking a foundational model, the system is fine-tuned with simulated data. The preliminary results demonstrate the system’s effectiveness compared to non-assisted solutions and its readiness for deployment on edge devices.

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Publication Details

Journal
Machine Learning and Knowledge Extraction
Published
2024-09-13
DOI
https://doi.org/10.3390/make6030103
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.35
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article

Show Me Once: A Transformer-Based Approach for an Assisted-Driving System

Luca Fanucci, Federico Pacini, Pierpaolo Dini
1 citations
Machine Learning and Knowledge Extraction
AI in Service Interactions
0.35
article

Show Me Once: A Transformer-Based Approach for an Assisted-Driving System

Luca Fanucci, Federico Pacini, Pierpaolo Dini
article en
1 citations

Abstract

Operating a powered wheelchair involves significant risks and requires considerable cognitive effort to maintain effective awareness of the surrounding environment. Therefore, people with significant disabilities are at a higher risk, leading to a decrease in their social interactions, which can impact their overall health and well-being. Thus, we propose an intelligent driving-assistance system that innovatively uses Transformers, typically employed in Natural Language Processing, for navigation and a retrieval mechanism, allowing users to specify their destinations using natural language. The system records the areas visited and enables users to pinpoint these locations through descriptions, which will be considered later in the retrieval phase. Taking a foundational model, the system is fine-tuned with simulated data. The preliminary results demonstrate the system’s effectiveness compared to non-assisted solutions and its readiness for deployment on edge devices.

Machine Learning and Knowledge ExtractionVol. 6(3)
University of Pisa (IT)
Quality Education
Openalex Percentile: Top 34%
AI in Service Interactions
0.35
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Show Me Once: A Transformer-Based Approach for an Assisted-Driving System — Luca Fanucci, Federico Pacini, et al. · Machine Learning and Knowledge Extraction (2024) | TGRS Research Map | TGRS