Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller
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Updated
Dec 5, 2017 - Python
Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller
GRADE evaluation and processing scripts
Noise-Adaptive Driving Assistance System (NADAS) using Deep Reinforcement Learning, State-Estimation & State Representation
Apps ini dibuat menggunakan Sensor Suara dan Getaran.
Experiments exploring probabilistic sensor noise modeling and state estimation in robotics systems.
A modular, simulator-agnostic Python library for applying physically accurate sensor perturbations (lens distortion, chromatic aberration, Poisson-Gaussian noise) to synthetic imagery, designed to bridge the sim-to-real gap in Advanced Air Mobility computer vision task.
Kinect v1 (Xbox 360) as a measuring instrument: the hidden disparity lattice (259 settled depths, 1-4 m), three per-pixel noise populations, a 2.74 s noise correlation time, warm-up drift, a capability map and a first accuracy check. Scripts, live viewer, controls and retractions. By Moki&Julio.
Kalman filter state estimation for a simulated DC motor with noisy speed measurements and filtering baseline comparison.
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