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Speed limit determination is a complex task that may be solved by fusing data from GIS (Geographical Information System) and camera sensor. Among the existing data fusion models the Dempster-Shafer Belief Theory is found to be the most appropriate in this application. A confidence measure weights each source output, namely speed limit present on road sign and driving situation. Using the discounting...
The localization of intelligent vehicle is an important research topic in the field of intelligent transportation systems. This paper proposes a new vehicle localization method by fusing mono-camera, low-cost GPS and map data. The basic idea is: a possible position range of the vehicle is determined by fusing low-cost GPS output and the map data; Lateral spatial information for high-accuracy localization...
The advanced driver assistance systems (ADAS systems) based on cooperation between vehicles can offer serious perspectives to the road security. The inter-vehicle cooperation is made possible thanks to the revolution in the wireless mobile ad hoc network. This paper presents an application of the V2V communications. The car tracking using the GPS receivers is not always ideal in urban areas. To resolve...
In this paper, we present our approach for collision risk estimation between vehicles. The vehicles are equipped with GPS receivers and communication devices. Our approach consists on using the knowledge given trough communication tool to predict the trajectories of the surrounding vehicles. Based on these trajectories, we identify the configurations of the collisions between vehicles. The risk is...
For most tracking applications the Kalman filter is reliable and efficient, but it is limited to a relatively restricted class of linear Gaussian problems. Particle filters are proving to be dependable methods for stochastic dynamic estimation. We will present in this paper, an accurate localization strategy for vehicles in urban environments based on the particle filters, the communication between...
This paper presents an accurate localization strategy for vehicles in urban environments by using the communication between vehicles and the vision systems when GPS data is unavailable or has a poor quality of signal due to multi-tracks or bad satellite visibility. The new generation of the advanced driver assistance systems (ADAS systems) based on cooperation between vehicles can offer serious perspectives...
In this paper, we present a robust approach for the detection, tracking and classification of multiple vehicles using a vehicle mounted laser scanner working independently in highways an urban centers. Our classification is based on different criteria: geometrical configuration, occlusion reasoning, sensor specifications and tracking information. The estimated confidence level is thus computed accounting...
In this paper, we present an improved European speed-limit sign recognition system based on an original ldquoglobal number segmentationrdquo (inside detected circles) before digit segmentation and recognition. The global speed-limit sign detection and correct recognition rate, currently evaluated on videos recorded on a mix of French and German roads, is around 94%, with a misclassification rate below...
Detecting and tracking pedestrians accurately is essential to design efficient and robust collision avoidance systems. But traditional approaches to pedestrian detection and tracking in dense urban environments suffer from tracking failures and wrong classifications. We propose in this paper a system that recursively estimates the true outlines of every tracked target using a set of segments called...
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