In this paper we present a novel contribution work, describing a system that helps to detect urban areas with high density of incidents or risk situations. Our system has a perception and pre-collision system that feed an expert system aimed at detecting dangerous situations. All incidents gathered by the vehicles are sent to a global repository, and its data is processed for detecting urban hotspots where the density of incidents is very high. That information can be useful for city councils, allowing them to address these areas with a high concentration of risk situations.No data (2013)UE
We consider the problem of intelligently navigating through complex traffic. Urban situations are de...
With the expansion and advancement of road infrastructures, many large cities are experiencing incre...
Result values that are obtained from diverse queries and cartographic products need to be sufficient...
In this paper we present a novel contribution work, describing a system that helps to detect urban a...
The present paper deals with partial development of SAMPLER Framework, based on an on-board percepti...
We report on the adaptation of an immune-inspired instance selection technique to solve a real-world...
This paper presents an application of a pedestrian detection system aimed at localizing potentially ...
Purpose – The purpose of this chapter is to review the methodological and empirical underpinnings of...
A prototype solution for continuously determining the current level of danger in traffic at differen...
This article presents the development of a geographical information system (GIS). App to visualize...
Events and phenomena such as crime incidents and outbreak of an epidemic tend to form concentration ...
Traffic accidents in urban areas lead to reduced quality of life and added pressure in the cities’ i...
Traffic accidents in urban areas lead to reduced quality of life and added pressure in the cities’ i...
Events and phenomena such as crime incidents and outbreak of an epidemic tend to form concentrations...
In order to improve the road traffic information for safety tasks, it is necessary to help drivers t...
We consider the problem of intelligently navigating through complex traffic. Urban situations are de...
With the expansion and advancement of road infrastructures, many large cities are experiencing incre...
Result values that are obtained from diverse queries and cartographic products need to be sufficient...
In this paper we present a novel contribution work, describing a system that helps to detect urban a...
The present paper deals with partial development of SAMPLER Framework, based on an on-board percepti...
We report on the adaptation of an immune-inspired instance selection technique to solve a real-world...
This paper presents an application of a pedestrian detection system aimed at localizing potentially ...
Purpose – The purpose of this chapter is to review the methodological and empirical underpinnings of...
A prototype solution for continuously determining the current level of danger in traffic at differen...
This article presents the development of a geographical information system (GIS). App to visualize...
Events and phenomena such as crime incidents and outbreak of an epidemic tend to form concentration ...
Traffic accidents in urban areas lead to reduced quality of life and added pressure in the cities’ i...
Traffic accidents in urban areas lead to reduced quality of life and added pressure in the cities’ i...
Events and phenomena such as crime incidents and outbreak of an epidemic tend to form concentrations...
In order to improve the road traffic information for safety tasks, it is necessary to help drivers t...
We consider the problem of intelligently navigating through complex traffic. Urban situations are de...
With the expansion and advancement of road infrastructures, many large cities are experiencing incre...
Result values that are obtained from diverse queries and cartographic products need to be sufficient...