Panagiotis Lytrivis

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Vehicular ad hoc networks (VANETs) are in the heart of current and future automotive research. Most of the current vehicular safety applications are based on sensors installed on the vehicle, e.g., radars and laserscanners. Due to the evolution of wireless networks, there is a tendency to exploit the cooperation among vehicles to enhance road safety through(More)
Integration of wireless communications in vehicles presents the greatest challenge today in the field of vehicular safety, efficiency and comfort. Data fusion should be able to benefit from this additional source of information. This involves the association and fusion of received vehicle positions and other relevant data with the targets tracked by the(More)
This paper presents a high level fusion approach suitable for automotive sensor networks with redundant field of views. The advantage of this method is that it ensures system modularity and allows benchmarking, as it does not permit feedbacks and loops inside the processing. The proposed algorithm deals with the issue of multidimensional assignment as the(More)
The advanced situation awareness of the driver in the road environment is very important for vehicular safety applications, especially for mitigating the harmful effects of collisions. Nowadays, advanced driver assistance systems are based on on-board sensors. The evolution of wireless networks lead to the exploitation of cooperation among vehicles to(More)
Multi-sensor systems in automotive safety applications and sensor data fusion have become very popular in recent years. Sensors on board cars and active safety applications are increasing in number and the need to define a common method for object extraction and serving these applications has been recognized. Authors propose a high level fusion approach(More)
Research in the automotive field is currently focusing on exploiting the co-operation among vehicles to enhance road safety, efficiency and comfort. In vehicular ad hoc networks, especially in safety related applications, accuracy of the information exchanged through the wireless network, such as position and velocity of each vehicle, is crucial. For this(More)
1. Multiple hypothesis tracking Laserscanner sensors deliver distance measurements from the reflections of objects in the environment. In most automotive applications, the output of the sensor should consist of a list of detected objects. A common architecture for object detection in a laserscanner processing system is the following: Fig. 1. Laserscanner(More)