Phenomanager
PerCollECT for Lidar Sensors: https://percollect.github.io/LidarLimbs/
PerCollECT for Camera Sensors: https://percollect.github.io/CameraCopse/
PerCollECT for Radar Sensors: https://percollect.github.io/RadarRami/
PerCollECT for Ultrasonic Sensors: https://percollect.github.io/UltrasonicUnderwood/
Interactive visualizations of interesting math phenomena (LIVE DEMO). Most are inspired by Youtube videos.
Sem4 LAAS-CNRS Internship: Time Estimation for Occlusion Avoidance and Tracking by Deep Learning (YOLOv3, YOLOv4 & Detectron2)
Interactive 3D visualization of binary black hole mergers with realistic physics, gravitational lensing, and wave effects. Built with Three.js and WebGL.
Stream Nature provides individuals with access to the world's natural phenomena. United through a common interest in nature, users can view and broadcast their own favourite nature spots.
Testing a phenomenon of the Stroop Effect
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