Daniel S. Levine

TL;DR: The system architecture and core algorithms for a quadrotor helicopter that uses vision data to navigate an unknown, indoor, GPS-denied environment are described and drift-free hover and obstacle avoidance flight tests in a controlled environment are presented.

TL;DR: This paper studies the global dynamics of neurons, or neuron populations, in a recurrent on-center off-surround anatomy undergoing nonlinear shunting interactions, and finds a mechanism for suppressing the activity of populations whose trigger features are infrequently experienced by the network.

TL;DR: This work shows that a useful paradigm for generating efficient selected CI/exact diagonalization algorithms is driven by fast sorting algorithms, much in the same way iterative diagonalization is based on the paradigm of matrix vector multipli- cation.

TL;DR: In this paper, the authors consider the decision-making problem for a human-driven vehicle crossing a road intersection in the presence of other, potentially errant, drivers and propose a novel threat assessment module, which combines an intention predictor based on support vector machines with an efficient threat assessor using rapidly-exploring random trees.