• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.6
• /
• pp.1057-1066
• /
• 2023

Global Navigation Satellite System (GNSS) is one of the core technologies for the 4th Industrial Revolution, and its importance is increasingly highlighted in the next generation communications and smart mobility requiring the accurate location information. As the development of the high-performance/high-precesion GNSS technology makes it possible to obtain the more accurate locations information, the location based products and systems, which provide the high-quality service, are being researched/developed. In this paper, we present the results of a survey on the recent research trends and examples, utilizing GNSS technology in fields of the next generation communications and smart mobility, and analyzes the results.

• Proceedings of the KIEE Conference
• /
• 2004.07d
• /
• pp.2218-2220
• /
• 2004

조종사 없이 사전에 입력된 프로그램 또는 인공지능에 의해 기체 스스로 판단하여 자율비행하는 비행체를 무인 항공기라 한다.[6] 이러한 비행을 위해서는 기체의 위치, 자세, 속도 등의 정보가 필요하다. 본 논문에서는 3축 가속도센서 1개 및 1축 자이로센서 3개를 서로 수직으로 구성하는 관성항법 시스템에 자기콤파스, 고도센서, GPS등의 비관성센서를 추가로 구성하여 시스템을 설계하였으며 칼만필터를 이용하여 시스템의 오차를 추정하고 이를 되먹임 시킴으로써 오차를 정정한다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.11 no.2
• /
• pp.139-144
• /
• 2016

This paper provides an overview of recent trends in sensor fusion technologies for vehicle positioning. The GNSS by itself cannot satisfy precision and reliability required by autonomous driving. We survey sensor fusion techniques that combine the outputs from the GNSS and the inertial navigation sensors such as an odometer and a gyroscope. Moreover, we overview landmark-based positioning that matches landmarks detected by a lidar or a stereo vision to high-precision digital maps.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1997.04a
• /
• pp.51-55
• /
• 1997

This study is devote to developing navigation filter for detecting sensor failure in multi-sensor navigation system. In multi-sensor navigation system, Kalman filter is generally used to fuse data of each sensors. Sensor failure is fatal in case that the sensor is used as external measurement of Kalman filter therefore detection and recovery of sensor failure is one the important feature of navigation filter. Generally each sensors have its specific feature in measuring navigational information. Fuzzy theory is proposed to detect external sensor failure and provide valid external measurement to Kalman filter avoiding filter divergence and instability. This idea is applied to Autonomous Underwater Vehicle(AUV) which has two navigation sensor i. e self contained inertial sensor and acoustic external sensor. 2 dimensional simulation result shows acceptable failure detection and recovery

• Journal of Advanced Navigation Technology
• /
• v.11 no.2
• /
• pp.146-153
• /
• 2007

Autonomous unmanned vehicle is able to find the path and the way point by itself. For the more precise navigation performance, Extended kalman filter, which is integrated with inertial navigation system and global positioning system is proposed in this paper. Extended kalman filter's performance is evaluated by the simulation and applied to the unmanned vehicle. The test result shows the effectiveness of extended kalman filter for the navigation.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.17 no.5
• /
• pp.200-209
• /
• 2018

This study proposed a method to select existing facilities as a landmark in order to reset accumulated errors of dead reckoning in a tunnel difficult to receive GNSS signals in automated driving. First, related standards and regulations were reviewed in order to survey 'variety' on shapes and installation locations as a feature of facilities. Second, 'recognition' on facilities was examined using image and Lidar sensors. Last, 'regularity' in terms of installation locations and intervals was surveyed through related references. The results of this study selected a fire fighting box / lamp (50m), an evacuation corridor lamp (300m), a lane control system (500m), a maximum / minimum speed limit sign and a jet fan as a candidate landmark to reset positioning errors. Based on those facilities, it was determined that error correction was possible. The results of this study are expected to be used in repositioning of automated driving vehicles in a tunnel.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.4 no.2
• /
• pp.115-126
• /
• 1996

In order to obtain the principal design data for developing the Autonomous Robot Vehicle(ARV), Sensitivity analysis on the trajectory error and friction force with respect to the dynamic parameters is performed. In the straight motion, the trajectory error has been proved to be much affected by the mass variance of the ARV while the lateral friction force is much affected by the location of the mass center. In the curved motion, the effect of mass and moment of inertia is considered importantly. In addition, the lateral offset gives more effect than the geometric dimension of the ARV on the trajectory errors and friction force.

• Journal of the Korean Society for Precision Engineering
• /
• v.15 no.1
• /
• pp.101-108
• /
• 1998

This paper concerns the navigation algorithm of motion reference unit (MRU) for autonomous underwater vehicle (AUV) We apply the strapdown navigation system using middle level inertial sensors. But, because the MRU consists of inertial sensors, the values of AUV motion calculated by navigation computer are increased by drift property of inertial sensors. Therefore, we propose the attitude algorithm using switching method according to the motion of AUV From this algorithm, the drift terms are eliminated effectively for roll and pitch. But, another device is required for yaw angle.

• Proceedings of the KIEE Conference
• /
• 2015.07a
• /
• pp.105-106
• /
• 2015

무인 자율 자동차는 사람이 차량 제어에 개입할 수 있는 일반적인 '무인 자동차'와는 달리 센서, 메라와 같은 '장애물 인식장치'와 GPS모듈 과 같은 '자동 항법 장치'를 기반으로 조향, 변속, 가속, 브레이크를 도로환경에 맞춰 스스로 제어해 목적지까지 주행할 수 있는 차량을 의미한다. 따라서 무인 자율 주행 자동차에는 차량제어기술, 차선인식기술, 충돌 회피 기술 등이 필요 하며 이를 위해 각종 센서뿐만 아니라 센서 네트워크, 컴퓨터비전, 인공지능 등의 다양한 기술들이 접목되어야 한다. 본 논문은 소형 무인자동차의 제작을 통한 알고리즘과 그 평가에 대해서 나타낼 것이다.

• Proceedings of the KIEE Conference
• /
• 2015.07a
• /
• pp.1379-1380
• /
• 2015

본 논문에서는 고도유지 제어기를 포함한 자율이동체의 수직 채널 안정화 루프를 제안한다. 제안된 방법은 일반적으로 널리 사용되고 있는 고전적인 수직채널 댐핑루프와 달리 고도정보와 함께 속도정보를 이용하여 궤적의 고도변화가 큰 이동체에 대하여 빠른 응답특성을 갖도록 한다. 루엔-버거(Luenberger) 관측기 구조를 이용함으로써 속도정보를 활용한 수직채널 안정화루프의 체계적 설계가 가능함을 보인다. 제안된 설계 방법에 대하여 모의실험을 통해 제안한 기법의 성능 및 유용성을 확인한다.