Navigational Rule Derivation: An algorithm to determine the effect of traffic signs on road networks
Daniil Galaktionov, Miguel R. Luaces, \'Angeles S. Places

TL;DR
This paper introduces an algorithm that automatically derives traffic rules from detected signs to enhance road network maps, aiding navigation systems by simulating sign visibility and effects in urban environments.
Contribution
The paper presents a novel algorithm that interprets traffic signs to automatically generate enriched road maps, supporting complex urban navigation.
Findings
Successful implementation in a small urban network
Effective simulation of sign visibility and effects
Potential for generalization to complex environments
Abstract
In this paper we present an algorithm to build a road network map enriched with traffic rules such as one-way streets and forbidden turns, based on the interpretation of already detected and classified traffic signs. Such algorithm helps to automatize the elaboration of maps for commercial navigation systems. Our solution is based on simulating navigation along the road network, determining at each point of interest the visibility of the signs and their effect on the roads. We test our approach in a small urban network and discuss various ways to generalize it to support more complex environments.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Management and Algorithms · Evacuation and Crowd Dynamics · Geographic Information Systems Studies
