Employing Deep Unsupervised Learning Method to Identify Testing Scenarios for Automated Vehicles.
Shuai LiuFan RenGuo YangDingchang HeYonggang LiuPublished in: DSA (2023)
Keyphrases
- unsupervised learning
- high precision
- cost function
- fully automatic
- real world
- objective function
- test data
- computationally efficient
- high accuracy
- classification accuracy
- detection method
- clustering method
- model selection
- experimental evaluation
- significant improvement
- preprocessing
- computational complexity
- similarity measure
- data sets
- computational cost
- pairwise
- synthetic data
- path planning
- neural network