Focusing on autonomous robotic applications, this cutting-edge resource offers a practical treatment of short-range radar processing for reliable object detection at the ground level. This unique book demonstrates probabilistic radar models and detection algorithms specifically for robotic land vehicles. Engineers and researchers may find detailed coverage of Simultaneous Localization and Map Building (SLAM) - an area referred to as the "Holy Grail" of autonomous robotics research.
Martin Adams is professor in the Department of Electrical Engineering, Advanced Mining Technology Centre (AMTC) at the University of Chile. He received his D.Phil. in robotics research at the University of Oxford. Ebi Jose is a senior research and development engineer at Singapore Technologies Electronics. He holds a Ph.D. in robotics from Nanyang Technological University.
Introduction.; Part I: Detection and Mapping with Radar - Mapping with Radar. Case Study: Short Range FMCW Radar. Detection Based on target Presence Probability. Robot Mapping Using Measurement Likelihoods.; Part II: Radar Based Simultaneous Localization and Map Building - Exploiting Radar's Multiple Line of Sight Capabilities.; Part III: Map Representations for Radar - Random Finite Set Based Mapping and Navigation. Coastal Feature Extraction with X-Band Marine Radar. Conclusions and Future Directions.