@INPROCEEDINGS{dlr71154,
 author = {Mathias Haberjahn and Marek Junghans},
 title = {Vehicle Environment Detection by a Combined Low and Mid Level Fusion of a Laser Scanner and Stereo Vision},
 booktitle = {14th International IEEE Conference on Intelligent Transportation Systems},
 year = {2011},
 month = {Oktober},
 abstract = {A sensor system consisting of a multi layer laser scanner and a stereo camera is used to observe the surrounding environment of a vehicle. By a novel multi level fusion framework the heterogeneous sensor data can be merged on different processing levels. The following paper gives a short introduction to the processing steps of the sensor data and focuses on the lower raw level and middle object level fusion. Here, the low level fusion obtains a more precise object discrimination, whereas the mid level fusion is able to solve conflicting sensor statements with competing object information. A combination of both, obviously results in a more accurate environmental description. The effectiveness of both fusion approaches is tested and compared with real road reference data, obtained from highly precise GPS data.},
 keywords ={},
 url = {http://elib.dlr.de/71154/}
}