Fusion at Detection Level for Frontal Object Perception

Autor: Trung Dung Vu, Olivier Aycard, R. Omar Chavez-Garcia

Publikováno v: Intelligent Vehicles Symposium (IV), 2014 IEEE
Intelligent Vehicles Symposium (IV), 2014 IEEE, Jun 2014, Dearborn, Michigan, United States. pp.8
Intelligent Vehicles Symposium

International audience; Intelligent vehicle perception involves the correct detection and tracking of moving objects. Taking into account all the possible information at early levels of the perception task can improve the final model of the environme

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abaa9a87b3ccfdd1ecbc9863c091499f
https://hal.science/hal-01010374/document

Frontal object perception using radar and mono-vision

Autor: J. Burlet, Trung-Dung Vu, Olivier Aycard, R. Omar Chavez-Garcia

Publikováno v: Intelligent Vehicles Symposium
2012 IEEE Intelligent Vehicles Symposium (IV)
2012 Intelligent Vehicles Symposium
2012 Intelligent Vehicles Symposium, Jun 2012, Alcalá de Henares, Spain. pp.159-164, ⟨10.1109/IVS.2012.6232307⟩

Poster; International audience; In this paper, we detail a complete software architecture of a key task that an intelligent vehicle has to deal with: frontal object perception. This task is solved by processing raw data of a radar and a mono-camera t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6f90e3681adb35dfd4924132f6f9bd5

Fusion Between Laser and Stereo Vision Data For Moving Objects Tracking In Intersection Like Scenario

Autor: Thierry Fraichard, Qadeer Baig, Trung Dung Vu, Olivier Aycard

Publikováno v: IV'2011-IEEE Intelligent Vehicles Symposium
IV'2011-IEEE Intelligent Vehicles Symposium, Jun 2011, Baden-Baden, Germany. pp.362-367, ⟨10.1109/IVS.2011.5940576⟩
Intelligent Vehicles Symposium

International audience; Using multiple sensors in the context of environment perception for autonomous vehicles is quite common these days. Perceived data from these sensors can be fused at different levels like: before object detection, after object

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d279c0634a67b4823647de0acff08aa3
https://hal.inria.fr/inria-00625511

Grid-based localization and local mapping with moving object detection and tracking

Autor: Olivier Aycard, Trung-Dung Vu, J. Burlet

Publikováno v: Information Fusion
Information Fusion, Elsevier, 2011, 12 (1), pp.58-69. ⟨10.1016/j.inffus.2010.01.004⟩
Information Fusion, 2011, 12 (1), pp.58-69. ⟨10.1016/j.inffus.2010.01.004⟩

International audience; We present a real-time algorithm for simultaneous localization and local mapping (local SLAM) with detection and tracking of moving objects (DATMO) in dynamic outdoor environments from a moving vehicle equipped with a laser sc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1210fa7ebf9fa0482a9d798f5e85314f
https://hal.archives-ouvertes.fr/hal-01023076/document

Results of a Precrash Application Based on Laser Scanner and Short-Range Radars

Autor: Sylvia Pietzsch, Nils Appenrodt, Thomas Hackbarth, Bernd Radig, Trung Dung Vu, Juergen Dickmann, J. Burlet, Olivier Aycard

Publikováno v: IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems, 2009, 10 (4), pp.584-593. ⟨10.1109/TITS.2009.2032300⟩
IEEE Transactions on Intelligent Transportation Systems, IEEE, 2009, 10 (4), pp.584-593. ⟨10.1109/TITS.2009.2032300⟩

International audience; In this paper, we present a vehicle safety application based on data gathered by a laser scanner and two short-range radars that recognize unavoidable collisions with stationary objects before they take place to trigger restra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13bc1fef9d94738cf1a9a97d892a2993
https://hal.science/hal-01023064/document