Title :
OffRoadScene: An Open Database for Unstructured Road Detection Algorithms
Author :
Erke Shang ; Haiyang Zhao ; Jian Li ; Xiangjing An ; Tao Wu
Author_Institution :
Coll. of Mechatron. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
We address the problem of unstructured road detection. This paper tries to build a database named OffRoadScene, which addresses the need for experimental data to quantitatively evaluate the performance of different unstructured road detection algorithms. OffRoadScene is comprised of two level of databases. In the first level, each frame document consists of not only image information, but also information of GPS (Global Position System), IMU (Inertial Measurement Unit) and laser scanner. In the second level, original images and corresponding benchmarks are offered. 550 series unstructured road images and 120 various scenarios of images are included currently. In addition, 13 video segments are in video segments file. In support of expanding OffRoadScene, we present a custom-made labeling software for assisting users who wish to add their own images. Finally, we explain how to use this database by evaluating some state-of-the-art unstructured road detection algorithms.
Keywords :
Global Positioning System; inertial systems; object detection; roads; traffic engineering computing; visual databases; GPS; Global Position System; IMU; OffRoadScene; custom-made labeling software; inertial measurement unit; laser scanner; open database; unstructured road detection algorithms; Benchmark testing; Conferences; Databases; Detection algorithms; Feature extraction; Roads; Support vector machines; database; ground truth; label software; unstructured road detection algorithm;
Conference_Titel :
Computer Sciences and Applications (CSA), 2013 International Conference on
Conference_Location :
Wuhan
DOI :
10.1109/CSA.2013.186