Deep learning-based perception systems for autonomous driving: A comprehensive survey
With the rapid development of society and the economy, autonomous driving techniques are
widely applied in many areas, such as autonomous vehicles, autonomous drones, and …
widely applied in many areas, such as autonomous vehicles, autonomous drones, and …
Machine vision based traffic sign detection methods: Review, analyses and perspectives
C Liu, S Li, F Chang, Y Wang - Ieee Access, 2019 - ieeexplore.ieee.org
Traffic signs recognition (TSR) is an important part of some advanced driver-assistance
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …
Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey
In this paper, we provide a survey of the traffic sign detection literature, detailing detection
systems for traffic sign recognition (TSR) for driver assistance. We separately describe the …
systems for traffic sign recognition (TSR) for driver assistance. We separately describe the …
Dbft: Efficient leaderless byzantine consensus and its application to blockchains
This paper introduces a new leaderless Byzantine consensus called the Democratic
Byzantine Fault Tolerance (DBFT) for blockchains. While most blockchain consensus …
Byzantine Fault Tolerance (DBFT) for blockchains. While most blockchain consensus …
Resolving the data ambiguity for periodic crystals
The fundamental model of all solid crystalline materials is a periodic set of atomic centers
considered up to rigid motion in Euclidean space. The major obstacle to materials discovery …
considered up to rigid motion in Euclidean space. The major obstacle to materials discovery …
Gromov–Wasserstein distances and the metric approach to object matching
F Mémoli - Foundations of computational mathematics, 2011 - Springer
This paper discusses certain modifications of the ideas concerning the Gromov–Hausdorff
distance which have the goal of modeling and tackling the practical problems of object …
distance which have the goal of modeling and tackling the practical problems of object …
Shape classification using the inner-distance
Part structure and articulation are of fundamental importance in computer and human vision.
We propose using the inner-distance to build shape descriptors that are robust to articulation …
We propose using the inner-distance to build shape descriptors that are robust to articulation …
Average Minimum Distances of periodic point sets are fundamental invariants for map** all periodic crystals.
The fundamental model of any solid crystalline material (crystal) at the atomic scale is a
periodic point set. The strongest natural equivalence of crystals is rigid motion or isometry …
periodic point set. The strongest natural equivalence of crystals is rigid motion or isometry …
An efficient earth mover's distance algorithm for robust histogram comparison
We propose EMD-L_ {1}: a fast and exact algorithm for computing the Earth Mover's
Distance (EMD) between a pair of histograms. The efficiency of the new algorithm enables …
Distance (EMD) between a pair of histograms. The efficiency of the new algorithm enables …
Contour detection based on nonclassical receptive field inhibition
C Grigorescu, N Petkov… - IEEE Transactions on …, 2003 - ieeexplore.ieee.org
We propose a biologically motivated method, called nonclassical receptive field (non-CRF)
inhibition (more generally, surround inhibition or suppression), to improve contour detection …
inhibition (more generally, surround inhibition or suppression), to improve contour detection …