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Found 7 papers, 5 papers with code
Character Level Based Detection of DGA Domain Names
Recently several different deep learning architectures have been proposed that take a string of characters as the raw input signal and automatically derive features for text classification.
A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors
We validate the performance of our system on public datasets and through real-world experiments with multiple sensors.
A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors
We highlight that our system is a general framework, which can easily fuse various global sensors in a unified pose graph optimization.
Real-Time Dense Stereo Embedded in A UAV for Road Inspection
This makes the damaged road areas more distinguishable from the road surface.
Robust Real-time UAV Replanning Using Guided Gradient-based Optimization and Topological Paths
A path-guided optimization (PGO) approach is devised to tackle infeasible local minima, which improves the replanning success rate significantly.
Robotics
RAPTOR: Robust and Perception-aware Trajectory Replanning for Quadrotor Fast Flight
In this paper, we present RAPTOR, a robust and perception-aware replanning framework to support fast and safe flight.
Robotics
Reinforcement learning for automatic quadrilateral mesh generation: a soft actor-critic approach
This paper proposes, implements, and evaluates a reinforcement learning (RL)-based computational framework for automatic mesh generation.
