Machine learning-driven pedestrian detection and classification for electric vehicles: integrating Bayesian component network analysis and reinforcement region-based convolutional neural networks.
A. DevipriyaD. PrabakarLaxman SinghA. Sheryl OliverShamimul QamarAbdul AzeemPublished in: Signal Image Video Process. (2023)
Keyphrases
- network analysis
- pedestrian detection
- machine learning
- human body
- social network analysis
- text mining
- benchmark datasets
- electric vehicles
- histogram intersection kernel
- decision trees
- convolutional neural networks
- feature selection
- reinforcement learning
- object detection
- link prediction
- complex networks
- network structure
- support vector machine
- supervised learning
- support vector
- human detection
- data mining
- feature vectors
- feature extraction
- detection rate
- computer vision
- learning algorithm
- active learning
- artificial intelligence
- computational intelligence
- databases
- pose estimation
- transfer learning
- three dimensional
- genetic algorithm