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Found 7 papers, 1 papers with code
Monetisation of and Access to in-Vehicle data and resources: the 5GMETA approach
Today's vehicles are increasingly embedded with computers and sensors which produce huge amount of data.
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.
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.
Embedded Platforms for Computer Vision-based Advanced Driver Assistance Systems: a Survey
Computer Vision, either alone or combined with other technologies such as radar or Lidar, is one of the key technologies used in Advanced Driver Assistance Systems (ADAS).
