原文传递
Fast Feature Detection and Stochastic Parameter Estimation of Road Shape using Multiple LIDAR.
| 题名： | Fast Feature Detection and Stochastic Parameter Estimation of Road Shape using Multiple LIDAR. |
| 关键词： | parameter；lidar；feature；shape；detection；fast；multi；stic；hast；matio |
| 摘要： | This paper describes an algorithm for an autonomous car to identify the shape of a roadway by detecting geometric features via LIDAR. The data from multiple LIDAR are fused together to detect both obstacles as well as geometric features such as curbs, berms, and shoulders. These features identify the boundaries of the roadway and are used by a stochastic state estimator to identify the most likely road shape. This algorithm has been used successfully to allow an autonomous car to drive on paved roadways as well as on offroad trails without requiring different sets of parameters for the different domains. |
| 报告类型： | 科技报告 |
相关文献
- Development of LiDAR Derived Digital Elevation Model (DEM) as Input to a METRANS Geographic Information System (GIS)
- Assessing the Risk of Landslide on Oklahoma Highways Using Lidar.
- Joint Parameter and State Estimation Algorithms for Real-time Traffic Monitoring.
- Joint Parameter and State Estimation Algorithms for Real-time Traffic Monitoring
- Preliminary Investigation of Ice Shape Sensitivity to Parameter Variations
- Preliminary Investigation of Ice Shape Sensitivity to Parameter Variations.
检索历史
应用推荐
