Autonomous Systems and Control Lab29
Our laboratory is with the Robotics Engineering Department, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Korea.
Our interdisciplinary research focuses on sensing, control and decision making algorithms with applications ranging from autonomous driving and flying robotic systems and control.
- Adaptive Urban Auto-driving Algorithm based on Sensor Weighted Integration Field
- Collision-Free Path Planning Algorithm: Dynamic Obstacles in Artificial Potential Field for Autonomous Vehicles
- Smart Agricutural System: Autonomous Driving-based Transplating Machine
Advisor Professor : Lim, Yongseob
Autonomous Systems and Control Lab Homepage
Our interdisciplinary research focuses on sensing, control and decision making algorithms with applications ranging from autonomous driving and flying robotic systems and control.
- Adaptive Urban Auto-driving Algorithm based on Sensor Weighted Integration Field
- Collision-Free Path Planning Algorithm: Dynamic Obstacles in Artificial Potential Field for Autonomous Vehicles
- Smart Agricutural System: Autonomous Driving-based Transplating Machine
Advisor Professor : Lim, Yongseob
Autonomous Systems and Control Lab Homepage
Co-Author(s)
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Recent Submissions
- AVOIDANCE PATH GENERATION METHOD ON BASIS OF MULTI-SENSOR CONVERGENCE USING CONTROL INFRASTRUCTURE, AND CONTROL DEVICE
- DEEP LEARNING-BASED SYSTEM AND METHOD FOR AUGMENTING VARIOUS LOW-LIGHT IMAGE DATA, CAPABLE OF ADJUSTING BRIGHTNESS
- RainSD: Rain style diversification module for image synthesis enhancement using feature-level style distribution
- BEV Image-based Lane Tracking Control System for Autonomous Lane Repainting Robot
- CARLA 시뮬레이터 기반 합성 평가 데이터셋을 활용한 극한 폭우 상황에서의 심층 신경망을 이용한 차선 인식 성능 평가