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 …
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 …
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 …
Object classification in a high-level sensor data fusion architecture for advanced driver assistance systems
M Aeberhard, T Bertram - 2015 IEEE 18th International …, 2015 - ieeexplore.ieee.org
Reliable estimation of an object's type is an important aspect of advanced driver assistance
systems (ADAS) and automated driving applications. A type-specific ADAS reaction or object …
systems (ADAS) and automated driving applications. A type-specific ADAS reaction or object …
[PDF][PDF] Multiple Sensor Fusion for Detec-tion, Classification and Tracking of Moving Objects in Driving Environ-ments
ROC Garcia - 2014 - researchgate.net
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 …
[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 …
Classification and tracking of dynamic objects with multiple sensors for autonomous driving in urban environments
Future driver assistance systems are likely to use a multisensor approach with
heterogeneous sensors for tracking dynamic objects around the vehicle. The quality and …
heterogeneous sensors for tracking dynamic objects around the vehicle. The quality and …
Decision-free true positive estimation with grid maps for multi-object tracking
A challenge for future advanced driver assistant systems is to establish a reliable
environment perception. Recently, advanced multi-object tracking algorithms were …
environment perception. Recently, advanced multi-object tracking algorithms were …
Study on moving-objects identification based on evidence theory
Z Tao, W Xiao-yi, L Zai-wan… - 2010 8th World Congress …, 2010 - ieeexplore.ieee.org
A novel method of moving target identification based on multi-features fusion is proposed in
this paper. Firstly, the distribution model of evidence weights is set up by the improved …
this paper. Firstly, the distribution model of evidence weights is set up by the improved …
Track classification within wireless sensor network
R Doumerc, B Pannetier, J Moras… - … , and Networking for …, 2017 - spiedigitallibrary.org
In this paper, we present our study on track classification by taking into account
environmental information and target estimated states. The tracker uses several motion …
environmental information and target estimated states. The tracker uses several motion …