• 제목/요약/키워드: avoidance of collision

검색결과 831건 처리시간 0.023초

지능형 뱀 로봇에 관한 연구 (Research about Intelligent Snake Robot)

  • 김성주;김종수;전홍태
    • 한국지능시스템학회논문지
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    • 제13권1호
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    • pp.70-75
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    • 2003
  • 기존 이동로봇의 활발한 연구와 더불어 다양한 형태의 이동로봇이 등장하였다. 이에 본 논문에서는 8축으로 구성된, 총 16 Degree Of Freedom을 가지는 다 관절 뱀 로봇을 제작하였다. 뱀 로봇은 지면과의 진행 마찰력을 고려하여 무동력 바퀴를 사용하였다. 또한 PC Cam과 초음파 센서를 사용하여 각 관절이 움직일 수 있는 Joint Angle을 나타내기 위하여 Target의 색상과 거리를 입력으로 하였다. 뱀 로봇은 머리부분, 몸통 그리고 꼬리부분으로 나뉘어 진행하는 방식을 가지며 PC Cam 을 통해 화면에 보여지는 움직이는 특정 목표물에 대하여 진행을 하며, 진행 중 움직이거나 고정되어있는 Obstacle이 포착될 경우 충돌회피를 통하여 Target을 추종하는 방식을 실험적으로 보이고자 한다.

휴머노이드 로봇의 안전한 차량 주행 전략 및 원격 제어 인터페이스 개발 (Development of Tele-operation Interface and Stable Navigation Strategy for Humanoid Robot Driving)

  • 신세호;김민성;안준우;김상현;박재흥
    • 제어로봇시스템학회논문지
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    • 제22권11호
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    • pp.904-911
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    • 2016
  • This paper presents a novel driving system by the humanoid robot to drive a vehicle in disaster response situations. To enhance robot's capability for substituting human activities in responding to natural and man-made disaster, the one of prerequisite skills for the rescue robot is the mounted mobility to maneuver a vehicle safely in disaster site. Therefore, our driving system for the humanoid is developed in order to steer a vehicle through unknown obstacles even under poor communication conditions such as time-delay and black-out. Especially, the proposed system includes a tele-manipulation interface and stable navigation strategies. First, we propose a new type of path estimation method to overcome limited communication. Second, we establish navigation strategies when the operator cannot recognize obstacles based on Dynamic Window Approach. The effectiveness of the proposed developments is verified through simulation and experiments, which demonstrate suitable system for driving a vehicle in disaster response.

자율주행 이동로봇의 목표 도달 시간을 개선하기 위한 TEB Local Planner 파라미터의 분석에 관한 연구 (A Study on the Analysis of TEB Local Planner Parameters to Improve the Target Reach Time of Autonomous Mobile Robot)

  • 노형석;정의;한정민;전정현;전호남
    • 한국산업융합학회 논문집
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    • 제25권5호
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    • pp.853-859
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    • 2022
  • In this study, we analyzed the instantaneous trajectory generation capability and target arrival rate of a mobile robot by changing the parameter of the TEB (Timed Elastic Band) Local Planner among local planners that affect the instantaneous obstacle avoidance ability of the mobile robot using ROS (Robot Operating System) simulation and real experience. As a result, we can expect a decrease in the target arrival time of the mobile robot through a decrease in the parameter values of the TEB Local Planner's min_obstacle_dist, inflation_dist, and penalty_epsilon. However, if this parameter is reduced too much, the risk of obstacle collision of the moving robot is increases, so it is important to combine the appropriate values to construct the parameter.

Proportionally fair load balancing with statistical quality of service provisioning for aerial base stations

  • Shengqi Jiang;Ying Loong Lee;Mau Luen Tham;Donghong, Qin;Yoong Choon Chang;Allyson Gek Hong Sim
    • ETRI Journal
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    • 제45권5호
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    • pp.887-898
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    • 2023
  • Aerial base stations (ABSs) seem promising to enhance the coverage and capacity of fifth-generation and upcoming networks. With the flexible mobility of ABSs, they can be positioned in air to maximize the number of users served with a guaranteed quality of service (QoS). However, ABSs may be overloaded or underutilized given inefficient placement, and user association has not been well addressed. Hence, we propose a three-dimensional ABS placement scheme with a delay-QoS-driven user association to balance loading among ABSs. First, a load balancing utility function is designed based on proportional fairness. Then, an optimization problem for joint ABS placement and user association is formulated to maximize the utility function subject to statistical delay QoS requirements and ABS collision avoidance constraints. To solve this problem, we introduce an efficient modified gray wolf optimizer for ABS placement with a greedy user association strategy. Simulation results demonstrate that the proposed scheme outperforms baselines in terms of load balancing and delay QoS provisioning.

An Integrated High Linearity CMOS Receiver Frontend for 24-GHz Applications

  • Rastegar, Habib;Ryu, Jee-Youl
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제16권5호
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    • pp.595-604
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    • 2016
  • Utilizing a standard 130-nm CMOS process, a RF frontend is designed at 24 GHz for automotive collision avoidance radar application. Single IF direct conversion receiver (DCR) architecture is adopted to achieve high integration level and to alleviate the DCR problem. The proposed frontend is composed of a two-stage LNA and downconversion mixers. To save power consumption, and to enhance gain and linearity, stacked NMOS-PMOS $g_m$-boosting technique is employed in the design of LNA as the first stage. The switch transistors in the mixing stage are biased in subthreshold region to achieve low power consumption. The single balanced mixer is designed in PMOS transistors and is also realized based on the well-known folded architecture to increase voltage headroom. This frontend circuit features enhancement in gain, linearity, and power dissipation. The proposed circuit showed a maximum conversion gain of 19.6 dB and noise figure of 3 dB at the operation frequency. It also showed input and output return losses of less than -10 dB within bandwidth. Furthermore, the port-to-port isolation illustrated excellent characteristic between two ports. This frontend showed the third-order input intercept point (IIP3) of 3 dBm for the whole circuit with power dissipation of 6.5 mW from a 1.5 V supply.

무인차량 자율주행을 위한 레이다 영상의 정지물체 너비추정 기법 (Width Estimation of Stationary Objects using Radar Image for Autonomous Driving of Unmanned Ground Vehicles)

  • 김성준;양동원;김수진;정영헌
    • 한국군사과학기술학회지
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    • 제18권6호
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    • pp.711-720
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    • 2015
  • Recently many studies of Radar systems mounted on ground vehicles for autonomous driving, SLAM (Simultaneous localization and mapping) and collision avoidance have been reported. Since several pixels per an object may be generated in a close-range radar application, a width of an object can be estimated automatically by various signal processing techniques. In this paper, we tried to attempt to develop an algorithm to estimate obstacle width using Radar images. The proposed method consists of 5 steps - 1) background clutter reduction, 2) local peak pixel detection, 3) region growing, 4) contour extraction and 5)width calculation. For the performance validation of our method, we performed the test width estimation using a real data of two cars acquired by commercial radar system - I200 manufactured by Navtech. As a result, we verified that the proposed method can estimate the widths of targets.

Modeling and Performance Analysis of MAC Protocol for WBAN with Finite Buffer

  • Shu, Minglei;Yuan, Dongfeng;Chen, Changfang;Wang, Yinglong;Zhang, Chongqing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권11호
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    • pp.4436-4452
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    • 2015
  • The IEEE 802.15.6 standard is introduced to satisfy all the requirements for monitoring systems operating in, on, or around the human body. In this paper, analytical models are developed for evaluating the performance of the IEEE 802.15.6 CSMA/CA-based medium access control protocol for wireless body area networks (WBAN) under unsaturation condition. We employ a three-dimensional Markov chain to model the backoff procedure, and an M/G/1/K queuing system to describe the packet queues in the buffer. The throughput and delay performances of WBAN operating in the beacon mode are analyzed in heterogeneous network comprised of different user priorities. Simulation results are included to demonstrate the accuracy of the proposed analytical model.

랜드마크 기반의 전방향 청소로봇 설계 및 제어 (Design and Control of an Omni-directional Cleaning Robot Based on Landmarks)

  • 김동원;유이고르;강은석;정슬
    • 한국지능시스템학회논문지
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    • 제23권2호
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    • pp.100-106
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    • 2013
  • 본 논문에서는 3개의 바퀴를 취하는 삼각형 구조의 전방향 청소로봇의 설계와 제어에 대해 소개한다. 시뮬레이션과 실험을 통해 제안하는 방법의 동작을 검증한다. 전방향 구조는 어느 방향으로 움직일 수 있다. 천장의 마커를 사용하는 StaGazer 센서를 사용하여 로봇의 위치와 헤딩각을 알아냈다. 추가로 초음파 센서를 부착하여 장애물을 검출할 수 있도록 하였다. 실험을 통해 시스템의 성능을 평가하였다.

Image-based ship detection using deep learning

  • Lee, Sung-Jun;Roh, Myung-Il;Oh, Min-Jae
    • Ocean Systems Engineering
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    • 제10권4호
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    • pp.415-434
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    • 2020
  • Detecting objects is important for the safe operation of ships, and enables collision avoidance, risk detection, and autonomous sailing. This study proposes a ship detection method from images and videos taken at sea using one of the state-of-the-art deep neural network-based object detection algorithms. A deep learning model is trained using a public maritime dataset, and results show it can detect all types of floating objects and classify them into ten specific classes that include a ship, speedboat, and buoy. The proposed deep learning model is compared to a universal trained model that detects and classifies objects into general classes, such as a person, dog, car, and boat, and results show that the proposed model outperforms the other in the detection of maritime objects. Different deep neural network structures are then compared to obtain the best detection performance. The proposed model also shows a real-time detection speed of approximately 30 frames per second. Hence, it is expected that the proposed model can be used to detect maritime objects and reduce risks while at sea.

Survey of Acoustic Frequency Use for Underwater Acoustic Cognitive Technology

  • Cho, A-ra;Choi, Youngchol;Yun, Changho
    • 한국해양공학회지
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    • 제36권1호
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    • pp.61-81
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    • 2022
  • The available underwater acoustic spectrum is limited. Therefore, it is imperative to avoid frequency interference from overlapping frequencies of underwater acoustic equipment (UAE) for the co-existence of the UAE. Cognitive technology that senses idle spectrum and actively avoids frequency interference is an efficient method to facilitate the collision-free operation of multiple UAE with overlapping frequencies. Cognitive technology is adopted to identify the frequency usage of UAE to apply cognitive technology. To this end, we investigated two principle underwater acoustic sources: UAE and marine animals. The UAE is classified into five types: underwater acoustic modem, acoustic positioning system, multi-beam echo-sounder, side-scan sonar, and sub-bottom profiler. We analyzed the parameters of the frequency band, directivity, range, and depth, which play a critical role in the design of underwater acoustic cognitive technology. Moreover, the frequency band of several marine species was also examined. The mid-frequency band from 10 - 40 kHz was found to be the busiest. Lastly, this study provides useful insights into the design of underwater acoustic cognitive technologies, where it is essential to avoid interference among the UAE in this mid-frequency band.