![]() Citation previewĪdvances in Computer Vision and Pattern Recognition For further volumes: Hong Cheng Autonomous Intelligent Vehicles Theory, Algorithms, and Implementation Prof. 10.3.1 Validating the Longitudinal Control System Function. 9.4 The Relationship Between Motor Pulses and the Front Wheel Lean Angle. The Proposed Segmenting Approach of Contours. Part IV: Advanced Vehicle Motion Control. 8.7 Combining Panoramic Images with Electronic Maps. 8.6 The Elimination of Wide-Angle Lens' Radial Error. 8.5.4 Image Interpolation in the Vehicle Coordinate System. 8.5.2 Calculation of Each Interest Point's View Angle in the Vehicle Coordinate System. 8.4.2 The Panoramic Inverse Perspective Mapping. 8.4.1 The Mapping Relationship Between Each Image and a Panoramic Image. Part III: Vehicle Localization and Navigation. 6.4.1.4 Data Association for a Single Sensor. 6.4.1.1 Probability Framework of Tracking. 6.3 Obstacles Stationary or Moving Judgement Using Lidar Data. 5.6.2.3 Vehicle Detection Results and Discussions. 4.5 Road Recognition Using a Mean Shift algorithm. 4.4.5.2 The Observation and Measure Models. Multi-Resolution Parameter Estimating Strategy. 4.3.2 The Adaptive Random Hough Transform. Part II: Environment Perception and Modeling. 3.3 Interactive Safety Analysis Framework. 2.7 University of Pennsylvania and Lehigh University-Little Ben. 2.5 Massachusetts Institute of Technology-Talos. ![]() 2.4 Virginia Polytechnic Institute and State University-Odin. 1.2.2 Vehicle Localization and Map Building. ![]() 1.2.1 Multi-sensor Fusion Based Environment Perception and Modeling. 1.2 The Key Technologies of Intelligent Vehicles. ![]() Table of contents : Autonomous Intelligent Vehicles. ![]()
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