Sergio Bemposta

Traffic violation alert and management

The present paper presents an in-vehicle system for traffic violation alert and management. The system hardware consists of a combination of an on-board computer vision system for traffic sign detection and recognition with a data recorder device for traffic violation alert and management. At present, traffic violations are only focused on three signs: namely speed limit, stop sign, and forbidden turning. The system is designed to warn drivers about potential traffic violations by emitting acoustical messages through vehicle loudspeakers. These messages are issued with sufficient notice to provide the driver with enough time to react to the oncoming traffic situation. However, when a traffic violation is committed, the corresponding offence information such as vehicle speed, GPS location, and other driving parameters, are saved in a database for off-line analysis. In addition, an auxiliary application permits the registered traffic violations to be represented as a standard Google Earth map. The prototype was tested in a real scene under different lighting conditions and showed reasonable results.

A System for Traffic Violation Detection

This paper describes the framework and components of an experimental platform for an advanced driver assistance system (ADAS) aimed at providing drivers with a feedback about traffic violations they have committed during their driving. The system is able to detect some specific traffic violations, record data associated to these faults in a local data-base, and also allow visualization of the spatial and temporal information of these traffic violations in a geographical map using the standard Google Earth tool. The test-bed is mainly composed of two parts: a computer vision subsystem for traffic sign detection and recognition which operates during both day and nighttime, and an event data recorder (EDR) for recording data related to some specific traffic violations. The paper covers firstly the description of the hardware architecture and then presents the policies used for handling traffic violations.

Driver behavior monitoring system based on traffic violation

This paper describes the overall framework and components of an experimental platform for driver behavior monitoring based on drivers traffic violation records. This platform is composed of two separate subsystems: a driver assistance system based on road sign detection and recognition, and a traffic violation recording unit in which the vehicle is involved. The system provides drivers with their traffic violation records allowing them to visualize the spatial and temporal information of their traffic violation using the standard Google Earth tool. This feedback can be used to persuade drivers in changing their driving styles by instilling improved behavior. The paper covers firstly the description of the hardware architecture and then presents the developed functionalities.

SACAT: An instrumented vehicle for driver assistance and safety

The present paper describes the framework and components of an instrumented vehicle for driver assistance and safety. The experimental platform is based on the use of an on-board computer vision system to capture the traffic signs, and on a multiple of electronic components to capture the vehicle state and identify drivers. The hardware architecture is designed with the purpose of making the deployment of functionalities related to driver assistance and road safety easy. The paper covers firstly the description of the hardware architecture, and then describes some of the implemented functionalities such as driver assistance based on traffic signs detection and recognition, traffic violation recorder, and a realization of an emergency call system.

Checkers Playing Robot: A Didactic Project

This paper presents a checkers playing robot, developed as a project within an educational framework by a group of students. The checkers playing robot is a multidisciplinary project that integrates technologies such as robots programming, computer vision, and artificial intelligence. In fact, the project is developed around three modules: namely a computer vision system, a checkers game software engine, and robotic manipulator programming. The result is a robot capable of autonomously playing checkers game against a human player. Firstly, the paper focuses on the technical aspects, and then some pedagogical issues are discussed.

LOGGING, ALERT & EMERGENCY SYSTEM FOR ROAD TRANSPORT VEHICLES - An Experimental eCall, Black-box and Driver Alerting System

This paper describes the experimental platform developed at UEM, mounted on a conventional vehicle. It monitors most of the driver’s actions on the controls of the vehicle, logs the vehicle speed and position using a GPS, detects and recognizes vertical traffic signs, and records the last seconds of the trip with a panoramic video camera. If an accident occurs, the system calls emergency services (112 in Spain) sending vehicle position information (via SMS) and opening a voice channel.