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Found 8 papers, 3 papers with code
Computer-Aided Road Inspection: Systems and Algorithms
Road damage is an inconvenience and a safety hazard, severely affecting vehicle condition, driving comfort, and traffic safety.
Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation
Therefore, this paper mainly explores an effective training data augmentation approach that can be employed to improve the overall DCNN performance, when additional images captured from different views are available.
Computer Stereo Vision for Autonomous Driving
As an important component of autonomous systems, autonomous car perception has had a big leap with recent advances in parallel computing architectures.
Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding
In this paper, we propose a novel road crack detection algorithm based on deep learning and adaptive image segmentation.
Multiple Lane Detection Algorithm Based on Optimised Dense Disparity Map Estimation
Lane detection is very important for self-driving vehicles.
A Novel Disparity Transformation Algorithm for Road Segmentation
The transformation is achieved using two parameters: roll angle and fitted disparity value with respect to each row.
Real-Time Stereo Vision for Road Surface 3-D Reconstruction
In this paper, we present a real-time stereo vision system used for road surface 3-D reconstruction.
Real-Time Subpixel Fast Bilateral Stereo
Stereo vision technique has been widely used in robotic systems to acquire 3-D information.
