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Found 5 papers, 1 papers with code
Dynamic Risk Assessment Methodology with an LDM-based System for Parking Scenarios
This paper describes the methodology for building a dynamic risk assessment for ADAS (Advanced Driving Assistance Systems) algorithms in parking scenarios, fusing exterior and interior perception for a better understanding of the scene and a more comprehensive risk estimation.
LiDAR-based curb detection for ground truth annotation in automated driving validation
First, our approach detects the curbs at each scan using a segmentation deep neural network.
Methodology for generating synthetic labeled datasets for visual container inspection
Nowadays, containerized freight transport is one of the most important transportation systems that is undergoing an automation process due to the Deep Learning success.
3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction
Top view images are generated from point clouds as input for the networks.
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using deep convolutional neural networks
We propose a new fully automatic approach based on Deep Convolutional Neural Networks (DCNN) for robust and reproducible thrombus region of interest detection and subsequent fine thrombus segmentation.
