In this book, small automotive remote sensing systems will be explored with a theoretical analysis and demonstrated with practical working examples. Several different types of sensing system will be discussed, including; radar, computer vision, lidar, and vehicle positioning. For each type of these systems there will be a derivation of the range equation, an explanation of applicable algorithms, and applied theory demonstrating the implementation of an actual system. Applications of these sensors will be discussed in context of sensor fusion. Combining sensory data from multiple sensors that utilizes the strength of each sensor will result in superior performance than that would be possible when these sources were used individually. Fusion configurations are discussed to achieve different objectives: accuracy, fail operational, 360? environment perception system, and derived information that would not be available from the single sensors (e.g., stereo vision system). There does not exist a comprehensive text on the topic of automotive active safety sensing and fusion systems. This book would capture the state of the art; documenting the theoretical understanding, the evolution of automotive sensing and fusion technology, and establish a technical reference for the future development of the sensing and fusion technologies.