A Method for Generating Correlated Taps in Stochastic Vehicle-to-Vehicle Channel Models.
Yan LiBo AiDavid G. MichelsonSiyu LinQi WangZhangdui ZhongPublished in: VTC Spring (2015)
Keyphrases
- parameter estimation
- statistical model
- pedestrian detection
- machine learning methods
- high accuracy
- probabilistic model
- computational cost
- map matching
- monte carlo simulation
- prior knowledge
- k means
- preprocessing
- real time
- dynamic programming
- vehicle detection
- data sets
- learning algorithm
- bayesian framework
- feature selection
- monte carlo
- hough transform
- computational complexity
- detection method
- clustering method
- detection algorithm
- denoising