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Found 11 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.
Automatic UAV-based Airport Pavement Inspection Using Mixed Real and Virtual Scenarios
Runway and taxiway pavements are exposed to high stress during their projected lifetime, which inevitably leads to a decrease in their condition over time.
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.
Virtual passengers for real car solutions: synthetic datasets
Strategies that include the generation of synthetic data are beginning to be viable as obtaining real data can be logistically complicated, very expensive or slow.
RTMaps-based Local Dynamic Map for multi-ADAS data fusion
Work on Local Dynamic Maps (LDM) implementation is still in its early stages, as the LDM standards only define how information shall be structured in databases, while the mechanism to fuse or link information across different layers is left undefined.
5G Features and Standards for Vehicle Data Exploitation
Cars capture and generate huge volumes of data in real-time about the driving dynamics, the environment, and the driver and passengers' activities.
MFR 2021: Masked Face Recognition Competition
These teams successfully submitted 18 valid solutions.
Boosting Masked Face Recognition with Multi-Task ArcFace
Experimental results show that the proposed approach highly boosts the original model accuracy when dealing with masked faces, while preserving almost the same accuracy on the original non-masked datasets.
Efficient Large-Scale Face Clustering Using an Online Mixture of Gaussians
In this work, we address the problem of large-scale online face clustering: given a continuous stream of unknown faces, create a database grouping the incoming faces by their identity.
DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis
Vision is the richest and most cost-effective technology for Driver Monitoring Systems (DMS), especially after the recent success of Deep Learning (DL) methods.
3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction
Top view images are generated from point clouds as input for the networks.
