Multiple sensor fusion for detection, classification and tracking of moving objects in driving environments
RO Chavez-Garcia - 2014 - hal.science
Advanced driver assistance systems (ADAS) help drivers to perform complex driving tasks
and to avoid or mitigate dangerous situations. The vehicle senses the external world using …
and to avoid or mitigate dangerous situations. The vehicle senses the external world using …
Multiple sensor fusion and classification for moving object detection and tracking
RO Chavez-Garcia, O Aycard - IEEE Transactions on Intelligent …, 2015 - ieeexplore.ieee.org
The accurate detection and classification of moving objects is a critical aspect of advanced
driver assistance systems. We believe that by including the object classification from multiple …
driver assistance systems. We believe that by including the object classification from multiple …
Multi sensor data fusion for detection and tracking of moving objects from a dynamic autonomous vehicle
Q Baig - HAL, 2012 - dml.mathdoc.fr
La perception est un point clé pour le fonctionnement d'un véhicule autonome ou même
pour un véhicule fournissant des fonctions d'assistance. Un véhicule observe le monde …
pour un véhicule fournissant des fonctions d'assistance. Un véhicule observe le monde …
A flexible environment perception framework for advanced driver assistance systems
M Schütz, K Dietmayer - … for Automotive Applications 2013: Smart Systems …, 2013 - Springer
The advanced driver assistance systems (ADAS) of the future will rely heavily on an
accurate and extensive description of the ego vehicle's environment based on multiple …
accurate and extensive description of the ego vehicle's environment based on multiple …
Multi level fusion of competitive sensors for automotive environment perception
M Haberjahn, K Kozempel - Proceedings of the 16th …, 2013 - ieeexplore.ieee.org
A reference sensor system, consisting of a multilayer laser scanner and a stereo camera
system, is used for detecting vehicle surroundings. Via a novel multi level multi sensor fusion …
system, is used for detecting vehicle surroundings. Via a novel multi level multi sensor fusion …
Multi-sensor data fusion for real-time multi-object tracking
N Senel, K Kefferpütz, K Doycheva, G Elger - Processes, 2023 - mdpi.com
Sensor data fusion is essential for environmental perception within smart traffic applications.
By using multiple sensors cooperatively, the accuracy and probability of the perception are …
By using multiple sensors cooperatively, the accuracy and probability of the perception are …
Object perception for intelligent vehicle applications: A multi-sensor fusion approach
The paper addresses the problem of object perception for intelligent vehicle applications
with main tasks of detection, tracking and classification of obstacles where multiple sensors …
with main tasks of detection, tracking and classification of obstacles where multiple sensors …
Fusion framework for moving-object classification
Perceiving the environment is a fundamental task for Advance Driver Assistant Systems.
While simultaneous localization and mapping represents the static part of the environment …
While simultaneous localization and mapping represents the static part of the environment …
Early and multi level fusion for reliable automotive safety systems
U Scheunert, P Lindner, E Richter… - 2007 IEEE Intelligent …, 2007 - ieeexplore.ieee.org
The fusion of data from different sensorial sources is today the most promising method to
increase robustness and reliability of environmental perception. The project ProFusion2 …
increase robustness and reliability of environmental perception. The project ProFusion2 …
[图书][B] Object-level fusion for surround environment perception in automated driving applications
M Aeberhard - 2017 - eldorado.tu-dortmund.de
Driver assistance systems have increasingly relied on more sensors for new functions. As
advanced driver assistance system continue to improve towards automated driving, new …
advanced driver assistance system continue to improve towards automated driving, new …