V2V Communications in Automotive Multi-Sensor Multi-Target Tracking Export

@inproceedings{citeulike:4066564, abstract = {Today's automotive sensor systems for in-vehicle based target tracking, i.e. radar, lidar, camera, are limited to a field of view which is restricted by distance, angle and line-of-sight. Future driver assistance systems such as predictive collision avoidance or situation-aware adaptive cruise control require a more complete and accurate situation awareness in order to detect hazardous and inefficient situations in time. Therefore, we introduce multi-target tracking including vehicle-2-vehicle communications as a complementing sensor for future driver assistance systems. The paper presents first simulation results of our algorithm which show promising outcomes.}, author = {Rockl, M. and Strang, T. and Kranz, M.}, booktitle = {Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th}, citeulike-article-id = {4066564}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/VETECF.2008.440}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4657272}, day = {24}, doi = {10.1109/VETECF.2008.440}, journal = {Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th}, keywords = {vehicle, vehicle-localization}, month = {October}, pages = {1--5}, posted-at = {2009-09-21 13:27:19}, priority = {2}, title = {V2V Communications in Automotive Multi-Sensor Multi-Target Tracking}, url = {http://dx.doi.org/10.1109/VETECF.2008.440}, year = {2008} }

TY - CONF ID - citeulike:4066564 L3 - citeulike-article-id:4066564 N2 - Today's automotive sensor systems for in-vehicle based target tracking, i.e. radar, lidar, camera, are limited to a field of view which is restricted by distance, angle and line-of-sight. Future driver assistance systems such as predictive collision avoidance or situation-aware adaptive cruise control require a more complete and accurate situation awareness in order to detect hazardous and inefficient situations in time. Therefore, we introduce multi-target tracking including vehicle-2-vehicle communications as a complementing sensor for future driver assistance systems. The paper presents first simulation results of our algorithm which show promising outcomes. JF - Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th EP - 5 TI - V2V Communications in Automotive Multi-Sensor Multi-Target Tracking T2 - Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th SP - 1 KW - vehicle KW - vehicle-localization AU - Rockl, M AU - Strang, T AU - Kranz, M PY - 2008/10/24/ UR - http://dx.doi.org/10.1109/VETECF.2008.440 ER -