Self-Driving Car Nanodegree Kidnapped Vehicle / Particle Filter Project
A ROS-based android application developed to read and visualize ROS data from the CAT Vehicle, the self-driving car at the University of Arizona's Compositional Systems Lab.
first project in self driving car nanodegree on udacity using python and opencv to detect lane line using cany edge detection and hough transform by using pipeline to pass it on video stream
matsimDataGenerator: Implementación de generador de datos MATSim-
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
Early collision warning Network Application for Transportation use case
🚗 Real-time lane detection using Python & OpenCV with image and video processing pipeline visualization.
대한민국 자율주행 관련 법령 챗봇
Online velocity profile optimization for autonomous racing, based on a Frenet-frame OCP solved with CasADi and acados.
Reinforcement learning training stack for DonkeyCar simulation.
Real-time nighttime vehicle detection and tracking using NIR camera, Kalman Filter, and distance estimation
A real-time Rust + SDL2 simulation of a four-way autonomous intersection using reservation-based scheduling.
E2E model divergence analysis for autonomous driving
라이다의 고강도 포인트 클라우드만 필터링하는 프로그램
A paradigm for autonomous vehicle systems through Personal Intelligence-Driven Navigation
Stereo visual SLAM evaluated on KITTI: bucketed feature tracking, RANSAC PnP, windowed bundle adjustment with hand-derived Jacobians and Schur complement, bag-of-words loop closure and robust pose-graph optimisation.
Self-supervised monocular depth + ego-motion (Monodepth2-style) on KITTI — no depth labels, PyTorch.
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