Road direction signs depict textual and directional information to convey instructions about how to reach a given destination. Detecting and interpreting road direction signs constitutes a key component in self-driving vehicles, therefore we propose a hybrid pipeline that combines deep learning with traditional handcrafted image processing, aiming for a combination of effectiveness and efficiency. Our solution includes a procedure for the identification of the orientation of arrows, generalizing on a wide variety of pictorial styles for direction signs across the globe. Our pipeline is evaluated in terms of accuracy and inference time of its individual steps, demonstrating excellent performance. Experiments are performed over two variants of the pipeline, assuming the availability of different levels of computational resources. We also test the system's dependence on annotated supervision by performing evaluation with a varying number of training instances.

Buzzelli, M., Talamona, S. (2023). Effective and Efficient Detection and Interpretation of Road Direction Signs. In 2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) (pp.135-140). IEEE [10.1109/ICCE-Berlin58801.2023.10375675].

Effective and Efficient Detection and Interpretation of Road Direction Signs

Buzzelli, Marco
;
2023

Abstract

Road direction signs depict textual and directional information to convey instructions about how to reach a given destination. Detecting and interpreting road direction signs constitutes a key component in self-driving vehicles, therefore we propose a hybrid pipeline that combines deep learning with traditional handcrafted image processing, aiming for a combination of effectiveness and efficiency. Our solution includes a procedure for the identification of the orientation of arrows, generalizing on a wide variety of pictorial styles for direction signs across the globe. Our pipeline is evaluated in terms of accuracy and inference time of its individual steps, demonstrating excellent performance. Experiments are performed over two variants of the pipeline, assuming the availability of different levels of computational resources. We also test the system's dependence on annotated supervision by performing evaluation with a varying number of training instances.
poster + paper
road direction signs, street scenes, object detection, arrow orientation
English
2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) - 03-05 September 2023
2023
2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)
9798350324150
2023
135
140
https://ieeexplore.ieee.org/document/10375675
reserved
Buzzelli, M., Talamona, S. (2023). Effective and Efficient Detection and Interpretation of Road Direction Signs. In 2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) (pp.135-140). IEEE [10.1109/ICCE-Berlin58801.2023.10375675].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/456873
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