… To tackle this problem, we propose a novel stereo framework for combining 2D and 3D …
Through the cooperation of 2D and 3D networks, our method can achieve accurate stereo results …

… -based stereo matching algorithm can obtain sparse disparity images quickly; the global stereo
matching algorithm can obtain global optimal … on competitive-cooperative neural networks…

… for robot arms and collaborative robots. Li et al. [20] proposed human–robot cooperation, in
which the adaptive behavior of the robot can help humans function in a cooperative mission. …

… the SGM optimization to achieve an excellent matching effect. … among FPGA-based stereo
matching architectures while the … adopt a collaborative design of architecture and algorithms. …

… The paper presents multi-objective optimization technique for the exploration … using sensor
data. Conventionally, in robotics, the optimization is performed utilizing a single optimization …

… based on a distributed graph optimization algorithm, and each robot maintains only states
related to itself. We prove that the algorithm … full density stereo matching system based on the …

… area of stereo matching methods … , matching cost calculation, cost aggregation, optimization
and disparity refinement make up the whole process of traditional stereo matching algorithm […

… We also adopt SGD for optimization with a minibatch of 16 stereo pairs. We set the base …
Since the collaborative pretraining scheme is not used in the previously published methods, …

… stereo matching (ie.,, feature extraction – feature volume construction and dense matching),
we optimize … deep stereo matching architectures and is ranked at the top 1 accuracy on KITTI …

… For tracking, we use nonlinear optimization on time surfaces, … III-A) and cast the stereo
matching problem as the minimization of … -based cooperative stereo matching using neuromorphic …