Maneuver Prediction Using Traffic Scene Graphs via Graph Neural Networks and Recurrent Neural Networks.
Petrit RamaNaim BajçincaPublished in: Int. J. Semantic Comput. (2023)
Keyphrases
- recurrent neural networks
- neural network
- graph representation
- chaotic time series
- graph structure
- graph matching
- graph theory
- weighted graph
- directed graph
- feed forward
- graph theoretic
- labeled graphs
- graph databases
- lane change
- adjacency matrix
- cascade correlation
- graph construction
- graph structures
- graph mining
- graph model
- recurrent networks
- bipartite graph
- graph clustering
- graph classification
- graph properties
- graph partitioning
- subgraph isomorphism
- undirected graph
- random graphs
- feedforward neural networks
- hidden layer
- spanning tree
- artificial neural networks
- video sequences
- graph data
- reservoir computing
- nonlinear dynamic systems
- graph kernels
- graph search
- random walk
- dynamic graph
- edge weights
- traffic flow
- web graph
- back propagation
- multi layer perceptron
- neural model
- echo state networks
- moving objects
- fuzzy logic
- graph layout
- neural models
- traffic conditions
- genetic algorithm
- reachability queries
- real time