The use of truly autonomous vehicles (UV) has been hampered by a lack of sophisticated and resource efficient obstacle avoidance systems. Current approaches have focused on either expensive active sensor systems or inferential processing techniques that are computationally intensive. In this proposal, UtopiaCompression Corporation (UC) presents a layered, intelligent and adaptive system concept that will facilitate true UV autonomous operations by solving the collision avoidance problem using inexpensive imaging sensors and modest computational resources. UtopiaCompression proposes focused research to push the limits of automation in the 3D arena by providing a real-time, end-to-end solution tailored to NASA's sensor data and mission requirements. This would be accomplished by deriving and using 3D structures obtained from inexpensive sensors to compute and model a spatio-temporal vector field. UC's novel, iterative refinement, multi-resolution registration algorithms enable the inexpensive and efficient generation of the 3D structures. These methods would be integrated into navigation strategies utilized to command UVs for safe cruising (avoiding collision) through cluttered environments.