Autonomous Driving: Road-Estimation

Data file can be obtained from: http://www.cvlibs.net/datasets/kitti/eval_road.php (Download base kit with: left color images, calibration and training labels (0.5 GB))

Data split: 60% training, 10% validation, 30% testing

Purpose: The purpose of this project is to apply machine learning techniques to estimate where the road is in the image.

REF:

• [13] L. Ladick´y, C. Russell, P. Kohli, and P. H. S. Torr. Associative hierarchical crfs for object class image segmentation. In Proc. ICCV, 2009. 1, 5
• [19] J. Shotton, J. M. Winn, C. Rother, and A. Criminisi. Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context. IJCV, 81(1), 2009. 1, 3, 5, 6