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Preface | ||
Ch. 1 | Introduction | 3 |
1.1 | Architectures for Planning and Perception | 3 |
1.2 | Range Sensing Technologies | 8 |
1.3 | Planning Demands | 9 |
Ch. 2 | The Mapping and Localisation Problem | 13 |
2.1 | Simultaneous Localisation and Map Building | 13 |
Ch. 3 | Perception at Millimetre Wavelengths | 21 |
3.1 | Sensor Operation | 22 |
3.2 | The Sensor | 24 |
3.3 | Antenna Properties | 25 |
3.4 | Altering Aperture Shape | 29 |
3.5 | Target Properties | 33 |
3.6 | Attenuation in the Transmission Medium | 37 |
3.7 | Summary | 39 |
Ch. 4 | Advanced Sonar: Principles of Operation and Interpretation | 41 |
4.1 | Single Return Sonar | 41 |
4.2 | Advanced Sonar: The Sonar Signature | 47 |
4.3 | Acquiring the Sonar Signature | 51 |
4.4 | Summary | 60 |
Ch. 5 | Smooth and Rough Target Modelling: Examples in Mapping and Texture Classification | 61 |
5.1 | Power Received by the Transducer | 61 |
5.2 | Smooth Surface Model | 62 |
5.3 | Rough Surface Planar Models | 68 |
5.4 | Mapping Heterogeneous Environments | 72 |
5.5 | Texture: Classifying Surfaces | 72 |
5.6 | Summary | 77 |
Ch. 6 | Sonar Systems: A Biological Perspective | 79 |
6.1 | Introduction | 79 |
6.2 | Echo Formation | 81 |
6.3 | Monaural Sensing | 86 |
6.4 | Multi-Aural Sensing | 88 |
6.5 | Summary | 109 |
Ch. 7 | Map Building from Range Data Using Mathematical Morphology | 111 |
7.1 | Introduction | 111 |
7.2 | Basics of Sonar Sensing | 114 |
7.3 | Processing of the Sonar Data | 115 |
7.4 | Experimental Verification | 125 |
7.5 | Discussion and Conclusions | 133 |
Ch. 8 | Millimetre Wave Radar for Robotics | 137 |
8.1 | Background | 137 |
8.2 | When to Use Millimetre Wave Radar | 138 |
8.3 | Millimetre Wave Radar Principles | 140 |
8.4 | Review of Work Done in the Field | 151 |
8.5 | Airborne Radar Systems | 156 |
8.6 | Waypoint Navigation Process | 159 |
8.7 | Summary | 162 |
Ch. 9 | Optoelectronic Range Sensors | 165 |
9.1 | Introduction | 165 |
9.2 | Range-Finders | 165 |
9.3 | Radiometric Design | 166 |
9.4 | Ranging Sensors | 177 |
9.5 | Scanning Range-Finders | 186 |
Ch. 10 | AMCW Lidar Range Acquisition | 193 |
10.1 | Introduction | 193 |
10.2 | Critical Lidar Design Factors | 195 |
10.3 | Performance Limits - Noise | 197 |
10.4 | AMCW Lidar Modules | 198 |
10.5 | Causes of, and Remedies for, Range Errors | 200 |
10.6 | Correct Calibration Procedures | 208 |
10.7 | Possible Scanning Speed | 212 |
10.8 | 3D Range/Amplitude Scanning - Results | 217 |
10.9 | Summary | 219 |
Ch. 11 | Extracting Lines and Curves from Optoelectronic Range Data | 223 |
11.1 | The Optoelectronic Sensors | 224 |
11.2 | Feature Extraction and Processing | 227 |
11.3 | Conclusions | 238 |
11.4 | Acknowledgments | 238 |
Ch. 12 | Active Vision for Mobile Robot Navigation | 239 |
12.1 | Vision for Mobile Robots | 239 |
12.2 | Scene Features | 244 |
12.3 | Fixation | 251 |
12.4 | Localisation and Map-Building | 254 |
12.5 | Continuous Feature Tracking | 259 |
12.6 | A Fixation Strategy for Localisation | 261 |
12.7 | Steering Control and Context-Based Navigation | 266 |
12.8 | Summary | 269 |
Ch. 13 | Strategies for Active Sensor Management | 271 |
13.1 | Introduction | 271 |
13.2 | Simple Signal Processing Tools | 275 |
13.3 | Reconfigurable Sensors and Signal Processing Tools | 278 |
13.4 | A Sensor-Centred Image Segmentation Algorithm | 282 |
13.5 | Signal Processing Tool Selection Strategies | 284 |
13.6 | Dynamic Signal Processing Tool Scheduling | 287 |
13.7 | Conclusions | 289 |
Bibliography | 291 | |
App. A: Contact Details of Authors | 307 | |
Index | 311 |
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