Adjustable linear models for optic flow based obstacle avoidance

► A novel framework to compute the optic flow first-order spatial description. ► A set of linear models that dynamically adapt on the basis of context information. ► Optic flow affine description through a multiple model Kalman Filter. ► Reliable time-to-contact estimation for obstacle avoidance. ► Benchmarking on synthetic and real-world sequences.