The monitoring of road surface anomalies, such as potholes, speed bumps etc., has a great
importance in order to ensure safety and comfort for all road users, from pedestrian to …

This work proposes road quality data analysis based on accelerometer and GPS sensors
built into smartphone. Given paper particularly addresses the problem of road conditions. In …

This paper presents a novel road/terrain classification system based on the analysis of
volunteered geographic information gathered by bikers. By ubiquitous collection of multi …

In this article, we describe a multimodal bike-sensing setup for automatic geoannotation of
terrain types using Web-based data enrichment. The proposed classification system is …

Knowledge of the current road condition, such as the road's evenness, is of great relevance
for road users and road authorities. The former can align their behavior with regard to an …

Vehicles have become increasingly technologically advanced and have gone from being all
mechanical to almost all computerized. Leveraging the digital vehicle and the many different …

In this paper, we describe a multi-modal bike sensing setup for automatic geo-annotation of
terrain types using web-based data enrichment. The proposed road/terrain classification …

Object classification and event detection are two principal problems in computer vision and
artificial intelligence. Being able to correctly identify the types of objects in the environment …

Bezvadu sensoru tīkli ir kļuvuši par neatņemamu daļu no visuresošās skaitļošanas
(Ubiquitous Computing) un lietu interneta (Internet of Things). Darba ietvaros izstrādāta un …

This paper focuses on the automatic geo-annotation of road/terrain types by collaborative
bike sensing. The proposed terrain classification system is mainly based on the analysis of …