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Found 6 papers, 1 papers with code
nuScenes Knowledge Graph -- A comprehensive semantic representation of traffic scenes for trajectory prediction
Further, we present nuScenes Knowledge Graph (nSKG), a knowledge graph for the nuScenes dataset, that models explicitly all scene participants and road elements, as well as their semantic and spatial relationships.
Context-driven Visual Object Recognition based on Knowledge Graphs
The experimental results provide evidence that the contextual views influence the image representations in the DNN differently and therefore lead to different predictions for the same images.
A Survey on Knowledge Graph-based Methods for Automated Driving
However, recent progress in knowledge graph embeddings and graph neural networks allows to applying machine learning to graph-structured data.
A Survey on Visual Transfer Learning using Knowledge Graphs
KGs can represent auxiliary knowledge either in an underlying graph-structured schema or in a vector-based knowledge graph embedding.
Learning Visual Models using a Knowledge Graph as a Trainer
However, due to the sole dependence on the image data distribution of the training domain, these models tend to fail when applied to a target domain that differs from their source domain.
Real-time on-board obstacle avoidance for UAVs based on embedded stereo vision
Obstacle avoidance is based on a reactive approach which finds the shortest path around the obstacles as soon as they have a critical distance to the UAV.
