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Journals and Conferences
This paper presents the design issues that were considered for the equipment of 4 identical autonomous vehicles that will drive themselves without human intervention on an intercontinental route for more than 13,000 km.
The performance of many computer vision applications, especially in the automotive field, can be greatly increased if camera oscillations induced by movements of the acquisition devices are corrected by a stabilization system. An effective stabilizer should cope with different oscillation frequencies and amplitude intervals, and work in a wide range of… (More)
This paper presents the preliminary results of VIAC, the VisLab Intercontinental Autonomous Challenge, a test of autonomous driving along an unknown route from Italy to China. It took 3 months to run the entire test; all data have been logged, including all data generated by the sensors, vehicle data, and GPS info. This huge amount of information has been… (More)
This paper presents a system whose aim is to detect and classify road obstacles, like pedestrians and vehicles, by fusing data coming from different sensors: a camera, a radar, and an inertial sensor. The camera is mainly used to refine the vehiclespsila boundaries detected by the radar and to discard those who might be false positives; at the same time, a… (More)
— This paper describes a vehicle detection system fusing radar and vision data. Radar data are used to locate areas of interest on images. Vehicle search in these areas is based on vertical symmetry. All vehicles found in different image areas are mixed together and a series of filters are applied in order to delete false positives. The algorithm analyzes… (More)
To develop real-time vision applications for use in highly dynamic environments, such as automotive traffic, researchers must gather large amounts of data from different sensors and systems at different rates. Software capable of real-time data acquisition, synchronization, logging, and - ultimately - data processing and visualization is fundamentally… (More)
This paper presents the test-bed that will be developed for a Unified Perception & Decision Architecture (UPDA). Due to the increasing demand of ADAS systems to be mounted on cars, it is more and more important to develop a unified architecture that can communicate and share information between these systems. This is the aim of an ERC-founded project and to… (More)
This paper surveys the different technologies involved in the development of computer vision applications for Intelligent Vehicles derived from the 15 year experience of VisLab. Some illustrative examples are also discussed.
This article describes a system for people counting conceived for public transportation vehicles. The underlying idea is to monitor the number of passengers getting in or out public transportation means like buses and metros over time hence computing reliable estimations in order to improve vehicle's door control. A stereo vision system is presented, it has… (More)
This article presents the VisLab solution for obstacle detection and navigation support for unmanned vehicles in industrial environments. Although the literature contains many examples to tackle this problem, this solution can be considered innovative as it improves traditional laser-based systems. The proposed system is composed by two sub-systems. The… (More)