A small project to practice the active safety functions of mass-produced vehicles, based on which to quickly grasp the core idea of rule-based algorithms for intelligent assisted driving functions through this simulation project.
카메라 기반 차선·보행자 인식과 초음파·ToF 센서 융합을 통해 차선 유지, 측면 안전 판단, 자동 긴급 제동, 조향·주행 제어를 수행하는 RC카 자율주행 시스템입니다.
ACC/AEB longitudinal function (SiL) in C++ with KPI-based verification + CI
M.Sc. thesis: closed-loop dynamic braking in CARLA with YOLO perception, split into ECU, planning, ABS and telemetry modules
Level 2 ADAS for an autonomous SAE BAJA vehicle. 3rd overall and 1st in AEB at aBAJA SAEINDIA 2026. Public showcase - results and engineering writeup, source code confidential.
카메라 기반 차선·보행자 인식과 초음파·ToF 센서 융합을 통해 차선 유지, 측면 안전 판단, 자동 긴급 제동, 조향·주행 제어를 수행하는 RC카 자율주행 시스템입니다.
CARLA simulation study quantifying the lateral detection blind zone in production ADAS. 100k-scenario Monte Carlo analysis of AEB response to motorcycle and vehicle lateral departure at highway speeds. Euro NCAP gap identified.
This project simulates a basic Automatic Emergency Braking (AEB) system using Tinkercad, demonstrating how an ultrasonic sensor can detect obstacles and automatically stop a vehicle (DC motor) to prevent collision.
Final thesis
A Virtual Reality based Driver perspective safety simulation for pedestrian safety project using Unity 3D and Meta Quest 3 to activate and challenge AEB in ADAS virtually for efficient automotive testing based on Euro NCAP standards.
No evidence, no claim. An LLM-agent platform that diagnoses ADAS (AEB) failures from telemetry and requirements, citing every finding.
Autonomous Emergency Braking (AEB) system — Embedded C · ISO 26262 ASIL B · UNECE R152 · Stellantis × UFPE
Automatic Emergency Braking (AEB) system simulation using MATLAB Simulink and Stateflow — MSc Autonomous Vehicle Engineering
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