A highly-reliable combined positioning method for vehicle in urban complex environments.
Jinfeng HuangXu LiYuhui SunQimin XuPublished in: ICVES (2013)
Keyphrases
- complex environments
- highly reliable
- objective function
- data sets
- synthetic data
- clustering method
- high accuracy
- computational cost
- real time
- support vector machine
- input data
- cost function
- significant improvement
- segmentation method
- pedestrian detection
- experimental evaluation
- dynamic programming
- detection algorithm
- multi agent systems
- map matching