Avoidance System(회피 시스템)란 무엇입니까?
Avoidance System 회피 시스템 - Then, the proposed Euclidean distance field mapping strategy is integrated with a rapid-exploration random tree to construct a collision-avoidance system. [1] The purpose of this research is to address both vehicle overtaking movements along urban roads and to develop a collision-avoidance system. [2] The environmental risk prediction and avoidance system is divided into the prediction part and the avoidance part. [3] This research focused on the maneuvering capability and the avoidance system of the tracked vehicle robot during operation. [4] There is still a long way to go before artificial mini robots are really used for search and rescue missions in disaster-hit areas due to hindrance in power consumption, computation load of the locomotion, and obstacle-avoidance system. [5] This paper describes the implementation of a collision-avoidance system (CSA), and the needed time-to-collision (TTC) estimation, using constant velocity model and C++ programming language. [6] In this paper, we present an algorithm for obstacle detection and avoidance system has been developed for miniature Unmanned Surface Vehicles (USVs) and autonomous mobile robots. [7] Here, we leverage new advancements in artificial intelligence, sensor systems, and soft electroactive materials toward an electronic travel aid with an obstacle detection and avoidance system for the visually impaired. [8] In order to protect VRUs and animals on or nearby the roads, a collision-avoidance system with two levels is proposed. [9] Examples include lane-departure warning systems, collision-avoidance systems, driver-alertness monitoring, park and drive assist systems, adaptive cruise-control, and semi-autonomous navigation. [10] This paper introduces a new generic scheme for a virtual antenna array (VAA) and its application in a train collision-avoidance system (TCAS). [11] Collision alert and avoidance systems (CAS) could help to minimize driver errors. [12] The GPS positioning error is recognized as one of the toughest obstacles to improve the current pedestrian collision warning and avoidance system. [13] Three simulations are conducted to assess the performance of the overall guidance and avoidance system. [14] The approach is evaluated using a maritime collision-avoidance system and the verification steps are evaluated along the update process. [15] The results indicate that utilizing a pedestrian to vehicle communication framework, either in place of or in addition to traditional obstacle detection and avoidance systems, would prove beneficial in developing more efficient intersections. [16] This paper consists of flood detection and avoidance system using the iot technology. [17] The objective of the present study was to assess the cognitive‐motivational aspects of Tonic‐ and Burst SCS‐induced pain relief, by means of exit latency in the mechanical conflict‐avoidance system (MCAS), in a rat model of chronic neuropathic pain. [18] This provides a theoretical basis for the further research of free flight in the future: the flight separation safety assessment based on communication, navigation, surveillance (CNS) performance, the avoidance system how to reduce the collision risk, human factors how to influence the collision risk and do multidisciplinary cross-fusion research for risk assessment of airspace safety. [19] The state-of-the-art figures reveal that only a few of the high-end vehicles have access to the robust collision detection and avoidance systems which is far from reach of the common people due to pecuniary issues. [20] An onboard target detection, tracking and avoidance system has been developed in this paper, for low-cost UAV flight controllers using AI-Based approaches. [21] Nevertheless, UAV platforms still face important limitations mainly related to autonomy and weight that impact their remote sensing capabilities when capturing and processing the data required for developing autonomous and robust real-time obstacle detection and avoidance systems. [22] By combining multi-sensory information from motion-sensor cameras, eBird database, magnetic fields and Doppler radar the following paper illustrates how such information can deem useful in improving collision-avoidance systems while also providing more knowledge of local conditions for both existing and future wind projects. [23] We show that the en‐route bird strikes have decreased considerably in countries where avoidance systems have been implemented, and that consequently bird strikes are on average 45% less frequent in countries with implemented avoidance systems in place. [24] In this paper, we present an agent-based traffic obstacles information and avoidance system. [25] Among them, collision prediction and avoidance system are especially important topics in real road scenes. [26] In this paper, we design and develop a laser-based avoidance system for autonomous guided vehicle materialized in this work by two-wheeled robot. [27] Among them, collision prediction and avoidance system are especially important topics in real road scenes. [28] Current avoidance systems mainly focus on the safety of the car occupants. [29] Thus, IGD in adolescents is potentially driven by dysfunction of the control system and the approach system rather than the avoidance system, supporting the neurobiological model of adolescent development. [30] Moreover, an Infrared (IR)-based obstacle-evasion model is implemented separately to explain the working of the autonomous collision-avoidance system. [31] The key enabler point for the use of this technology for automotive safety system (collision detection and avoidance system) is the fact that this technology provides low latency information exchange between the vehicles which are in communication range of each other for few seconds. [32] In this paper, an obstacle detection and avoidance system based on laser radar for mobile robots is established, and a new integrated improved algorithm is proposed. [33]그런 다음 제안된 유클리드 거리 필드 매핑 전략을 급속 탐색 랜덤 트리와 통합하여 충돌 방지 시스템을 구성합니다. [1] 이 연구의 목적은 도시 도로를 따라 추월하는 차량의 움직임을 모두 해결하고 충돌 방지 시스템을 개발하는 것입니다. [2] 환경 위험 예측 및 회피 시스템은 예측부와 회피부로 구분된다. [3] 본 연구에서는 추적차량로봇의 운행 중 기동능력과 회피시스템에 초점을 맞추었다. [4] 전력 소모 장애, 이동 연산 부하, 장애물 회피 시스템 등으로 인해 인공 미니 로봇이 재난 지역의 수색 및 구조 임무에 실제로 사용되기까지는 아직 갈 길이 멀다. [5] 이 문서에서는 등속 모델과 C++ 프로그래밍 언어를 사용하여 충돌 방지 시스템(CSA)의 구현과 필요한 충돌 시간(TTC) 추정에 대해 설명합니다. [6] 본 논문에서는 소형 무인수상차량(USV)과 자율 이동 로봇을 위해 개발된 장애물 탐지 및 회피 시스템 알고리즘을 제시한다. [7] 여기에서 우리는 시각 장애인을 위한 장애물 감지 및 회피 시스템을 갖춘 전자 여행 보조 장치에 인공 지능, 센서 시스템 및 부드러운 전기 활성 재료의 새로운 발전을 활용합니다. [8] 도로 위 또는 주변에 있는 VRU와 동물을 보호하기 위해 두 가지 수준의 충돌 방지 시스템을 제안합니다. [9] 예로는 차선 이탈 경고 시스템, 충돌 방지 시스템, 운전자 경고 모니터링, 주차 및 운전 지원 시스템, 적응형 크루즈 컨트롤, 반자율 주행이 있습니다. [10] 이 백서에서는 가상 안테나 어레이(VAA)에 대한 새로운 일반 체계와 열차 충돌 방지 시스템(TCAS)에 적용하는 방법을 소개합니다. [11] 충돌 경보 및 회피 시스템(CAS)은 운전자 오류를 최소화하는 데 도움이 될 수 있습니다. [12] GPS 위치 오류는 현재 보행자 충돌 경고 및 회피 시스템을 개선하는 데 가장 어려운 장애물 중 하나로 인식됩니다. [13] 전반적인 안내 및 회피 시스템의 성능을 평가하기 위해 세 가지 시뮬레이션이 수행됩니다. [14] 접근 방식은 해상 충돌 방지 시스템을 사용하여 평가되고 검증 단계는 업데이트 프로세스를 따라 평가됩니다. [15] 결과는 전통적인 장애물 감지 및 회피 시스템 대신에 또는 추가로 보행자 대 차량 통신 프레임워크를 활용하는 것이 보다 효율적인 교차로를 개발하는 데 도움이 될 것임을 나타냅니다. [16] 이 문서는 홍수 감지 및 iot 기술을 사용한 회피 시스템. [17] 본 연구의 목적은 만성 신경병성 통증의 쥐 모델에서 기계적 갈등 회피 시스템(MCAS)의 출구 잠복기를 통해 강장제 및 버스트 SCS 유도 통증 완화의 인지 동기적 측면을 평가하는 것이었습니다. [18] 이것은 미래의 자유 비행에 대한 추가 연구를 위한 이론적 기초를 제공합니다: 통신, 항법, 감시(CNS) 성능을 기반으로 한 비행 분리 안전 평가, 회피 시스템 충돌 위험을 줄이는 방법, 인적 요소 충돌에 영향을 주는 방법 영공 안전의 위험 평가를 위한 다학제간 융합 연구를 수행합니다. [19] 최신 수치는 금전적인 문제로 인해 일반 사람들의 손이 닿지 않는 강력한 충돌 감지 및 회피 시스템에 접근할 수 있는 고급 차량이 소수에 불과하다는 사실을 보여줍니다. [20] 이 백서에서는 AI 기반 접근 방식을 사용하는 저가 UAV 비행 컨트롤러를 위한 온보드 표적 탐지, 추적 및 회피 시스템을 개발했습니다. [21] 그럼에도 불구하고 UAV 플랫폼은 자율적이고 강력한 실시간 장애물 감지 및 회피 시스템을 개발하는 데 필요한 데이터를 캡처하고 처리할 때 원격 감지 기능에 영향을 미치는 주로 자율성과 무게와 관련된 중요한 제한 사항에 여전히 직면해 있습니다. [22] 모션 센서 카메라, eBird 데이터베이스, 자기장 및 도플러 레이더의 다중 감각 정보를 결합하여 다음 논문에서는 이러한 정보가 기존 및 미래 바람 모두에 대한 지역 조건에 대한 더 많은 지식을 제공하는 동시에 충돌 방지 시스템을 개선하는 데 유용하다고 간주할 수 있는 방법을 보여줍니다. 프로젝트. [23] 우리는 회피 시스템이 구현된 국가에서 도중에 조류 공격이 상당히 감소했으며 결과적으로 회피 시스템이 구현된 국가에서 조류 공격이 평균 45% 덜 빈번하다는 것을 보여줍니다. [24] 본 논문에서는 에이전트 기반 교통장애물 정보 및 회피 시스템을 제시한다. [25] 그 중 충돌 예측 및 회피 시스템은 실제 도로 장면에서 특히 중요한 주제입니다. [26] 본 논문에서는 이륜 로봇으로 구현한 레이저 기반 자율주행 차량 회피 시스템을 설계 및 개발한다. [27] 그 중 충돌 예측 및 회피 시스템은 실제 도로 장면에서 특히 중요한 주제입니다. [28] 현재의 회피 시스템은 주로 차량 탑승자의 안전에 중점을 둡니다. [29] 따라서 청소년의 IGD는 회피 시스템보다는 제어 시스템과 접근 시스템의 기능 장애에 의해 잠재적으로 구동되어 청소년 발달의 신경생물학적 모델을 지원합니다. [30] 또한 적외선(IR) 기반 장애물 회피 모델을 별도로 구현하여 자율 충돌 방지 시스템의 작동을 설명합니다. [31] 자동차 안전 시스템(충돌 감지 및 회피 시스템)에 이 기술을 사용하기 위한 핵심 인에이블러 포인트는 이 기술이 몇 초 동안 서로 통신 범위에 있는 차량 간에 저지연 정보 교환을 제공한다는 사실입니다. [32] 본 논문에서는 레이저 레이더 기반의 이동 로봇용 장애물 탐지 및 회피 시스템을 구축하고 새로운 통합 개선 알고리즘을 제안한다. [33]
rear end collision 후방 충돌
Mathematical models and fuzzy logic-based methods have recently been proposed to improve the effectiveness of the rear-end collision detection and avoidance systems in autonomous vehicles (AVs). [1] In this proposed method, a novel collision detection and avoidance algorithm are coined for Midvehicle Collision Detection and Avoidance System (MCDAS), addressing two scenarios, namely, (a) A rear-end collision avoidance with host vehicle under no front-end vehicle condition and (b) offset-based curvilinear motion under critical conditions, while, suitable parallel parking manoeuvring also addressed using offset-based curvilinear motion. [2]최근 자율주행차(AV)에서 후방 충돌 감지 및 회피 시스템의 효율성을 향상시키기 위해 수학적 모델과 퍼지 논리 기반 방법이 제안되었습니다. [1] 이 제안된 방법에서 MCDAS(Midvehicle Collision Detection and Avoidance System)를 위한 새로운 충돌 감지 및 회피 알고리즘이 만들어졌습니다. 및 (b) 임계 조건에서의 오프셋 기반 곡선 운동, 그리고 오프셋 기반 곡선 운동을 사용하여 적절한 평행 주차 기동도 해결됩니다. [2]
intelligent anti collision
A visual image reconstruction method is adopted to sample the intelligent anti-collision visual information of the ship, the edge blocking feature quantity of the intelligent anti-collision visual information of the ship is extracted, the segmentation and fusion characteristic matching processing is carried out according to the texture and the detail area of the intelligent anti-collision visual information of the ship, by using the sparse representation method to carry out the edge sharpening of the region characteristic of the ship intelligent anti-collision visual information, a multi-visual characteristic expression model of the ship intelligent anti-collision visual information is constructed, a collision avoidance system model of the ship intelligent anti-collision visual information is constructed by adopting a color space characteristic decomposition method, Based on the color space fusion technology, the intelligent anti-collision design of the ship's intelligent anti-collision visual information is carried out, and the intelligent anti-collision design of the ship is realized under the computer vision model. [1]선박의 지능형 충돌 방지 시각 정보를 샘플링하기 위해 시각 이미지 재구성 방법이 채택되고, 선박의 지능형 충돌 방지 시각 정보의 가장자리 차단 특징량이 추출되고, 분할 및 융합 특성 매칭 처리가 그에 따라 수행됩니다. 선박의 지능형 충돌 방지 시각 정보의 질감과 세부 영역에 희소 표현 방법을 사용하여 선박의 지능형 충돌 방지 시각 정보, 다중 시각 특성의 영역 특성의 가장자리 선명화를 수행 선박 지능형 충돌 방지 시각 정보 표현 모델이 구축되고, 선박 지능형 충돌 방지 시각 정보의 충돌 회피 시스템 모델은 색 공간 특성 분해 방법을 채택하여 구축되며, 색 공간 융합 기술을 기반으로 지능형 충돌 방지 - 선박의 지능형 충돌 방지 충돌 설계 n 시각 정보가 수행되고 컴퓨터 비전 모델에서 선박의 지능형 충돌 방지 설계가 실현됩니다. [1]
Collision Avoidance System 충돌 방지 시스템
The parking assist system is an essential application of the car’s active collision avoidance system in low-speed and complex urban environments, which has been a hot research topic in recent years. [1] A vehicle collision avoidance system with a microcontroller and onboard sensors in the smog zone is developed. [2] A brief overview of safety-critical applications is given, including autonomous vehicles and aircraft collision avoidance systems. [3] Deep neural networks are an attractive tool for compressing the control policy lookup tables in systems such as the Airborne Collision Avoidance System (ACAS). [4] This paper presents a Multi-robot collision avoidance system suitable for FPGA implementation. [5] Adaptive stress testing (AST) has been used to find failures in safety-critical systems such as aircraft collision avoidance systems (Lee et al. [6] The proposed model can be implemented in collision avoidance system which helps to present warning to aggressive drivers. [7] One critical safety system, the Traffic Collision Avoidance System II (TCAS), protects against mid-air collisions by predicting the course of other aircraft, determining the possibility of collision, and issuing a resolution advisory for avoidance. [8] The implementation of the Collision Avoidance System is aimed to reduce the risks of collisions at the hairpin bend on a Hilly track, Ghats, or other Zero visibility turns The proposed system contains a set of proximity sensors, warning lights combined with a convex mirror is installed by the side of the road. [9] In this paper, an emergency collision avoidance system is proposed by including not only braking but also steering control actions. [10] In this paper, the effectiveness of the proposed technique is investigated in the application of a novel vehicle collision avoidance system that is designed in the form of linear inequality constraints within MPC. [11] In this work, we propose a simple method based solely on monocular vision to overcome the data scarcity problem and to promote forward collision avoidance systems. [12] This thesis discusses occupancy grid map, collision avoidance system and belief theory, and propose some of the latest and the most effective method such as predictive occupancy grid map, risk evaluation model and OGM role in the belief function theory with the approach of decision uncertainty according to the environment perception with the degree of belief in the driving command acceptability. [13] In the past decades, Collision Avoidance System has grown to a level more developed than it has ever been, actively and significantly improving the safety of passengers of cars. [14] This paper proposes a bi-directional collision avoidance system for multiple vehicles to minimize the collision risk under the model predictive control (MPC) framework through switching the vehicle-following mode based on the inter-vehicular states. [15] This paper describes the elicitation, formal specification, and analysis of general collision avoidance system requirements for a conceptual spacecraft conducting autonomous close-proximity operations based on a run time assurance construct. [16] The study findings present the safety indicators sensitive to rear-end crashes specifically under PSD conditions, which can be used in designing collisions avoidance systems and strategies to improve overall traffic safety. [17] Each train coupling is redundantly monitored by four sensors, which can help to satisfy the train collision avoidance system (TCAS) and European Committee for Electrotechnical Standardization (CENELEC) software integrity level (SIL) 4 requirements and contribute to the reliability of the asynchronous network with low rejoin overhead. [18] This article summarizes the current state of the research on safety warnings under connected vehicle environments-from risk recognition algorithms, collision avoidance systems, dangerous event identification and notification methods, real-time safety warning system and effects of various types of warning information notifications. [19] The most important part of the collision avoidance system is its visual recognition and ranging. [20] The results reveal the robustness and real-time collision avoidance trajectory planned by the proposed collision avoidance system. [21] A large focus in recent years has been on adaptable collision avoidance systems capable of avoiding fixed and airborne traffic. [22] Typically, those challenges are addressed by using a collision avoidance system. [23] : Based on the research of TCAS and other collision avoidance systems applied in transportation aviation, a three-level collision avoidance system based on ADS-B technology applied in general aviation is proposed. [24] This paper offers a fuzzy-based manoeuvring model labeled as Fuzzy-based Midvehicle Collision Avoidance System (FMCAS) resolving two road crash scenarios. [25] The proposed method can be used for example to improve automatic emergency braking or collision avoidance systems. [26] In this paper, a collision avoidance system considering the navigation plan is developed. [27] Automotive collision avoidance system is a system that avoid collision when danger occur. [28] An automatic collision avoidance system is analyzed for illustrating the proposed modeling and analyzing methods. [29] For the automobile collision avoidance system, Carsim and Simulink are used to establish the longitudinal dynamics model of the vehicle, and the active collision avoidance control strategy of the safe time interval algorithm is adopted to define the TTC thresholds and corresponding expected deceleration for different braking levels, which are established in Simulink Controller model based on safe time interval algorithm. [30] For example, in collision avoidance systems in cars, the machine takes control during a potential threat, whether in other aeroplanes, humans takes control if there is a possibility of mid-air collisions. [31] The DAA is designed referring to traffic alert and collision avoidance system (TCAS) in manned aircraft system to detect the approaching UAVs in the RUTM and identify possible conflict for resolution. [32] Experiments on traffic collision avoidance systems are conducted, and the results demonstrate the usability and effectiveness of our approach. [33] Finally, an example of an aircraft collision avoidance system is used to verify the effectiveness of the method. [34] This preliminary investigation paves the way towards a new kind of collision avoidance system that would purely rely on audio sensors rather than conventional proximity sensors. [35] This project is about vehicle collision avoidance system for vehicles such as cars and trucks, and in particular, this research work utilizes the ultrasonic sensor. [36] Collision Avoidance System (CAS) is known as a pre-collision system or a forward collision warning system, and research has first begun as a vehicle safety system. [37] This paper introduces a collision avoidance system for navigating a multicopter in cluttered outdoor environments based on the recent memory-less motion planner, rectangular pyramid partitioning using integrated depth sensors (RAP-PIDS). [38] Based on the study results, the design implications for wearable vibration warnings of collision avoidance systems are presented. [39] In this paper, some collision avoidance systems based on MEC in a VANET environment are proposed and investigated. [40] We show that our method is able to generate meaningful probabilistic safety guarantees for aircraft collision avoidance neural networks that are loosely inspired by Airborne Collision Avoidance System X (ACAS X), a family of collision avoidance systems that formulates the problem as a partially observable Markov decision process (POMDP). [41] Hence, this paper aims to propose a stereo-vision based pedestrian detection and collision avoidance system for AVs. [42] The avionic industry has been using Traffic Alert and Collision Avoidance System (TCAS) for avoiding mid-air collisions since 1987. [43] , autonomous driving and collision avoidance systems. [44] Most collision avoidance systems are based on expert systems and simulations based on the International Regulations for Preventing Collisions at Sea (COLREGs). [45] We evaluated our technique on a prototype deep neural network implementation of the next-generation airborne collision avoidance system for unmanned aircraft (ACAS Xu). [46] millimeter (mmWave) frequencies are covering from 30GHz to 300GHz in the electromagnetic spectrum and their uses in various applications like next-generation wireless communication systems (massive 5G telecommunications network), medical devices, airport security and automatic collision avoidance systems are growing vastly in the near future. [47] In order to avoid runway intrusion, improve air transport efficiency and reduce airline losses, runway collision avoidance system emerges as the times require. [48] The horizontal tracker is essential for the reliable operation of the Airborne Collision Avoidance System (ACAS). [49] Collision avoidance systems are of great importance in advanced driver assistance systems (ADAS) to increase the level of safety. [50]주차 보조 시스템은 최근 몇 년 동안 뜨거운 연구 주제인 저속 및 복잡한 도시 환경에서 자동차의 능동 충돌 방지 시스템의 필수 응용 프로그램입니다. [1] 스모그 구역에 마이크로컨트롤러와 온보드 센서가 있는 차량 충돌 방지 시스템이 개발되었습니다. [2] nan [3] nan [4] nan [5] nan [6] nan [7] nan [8] nan [9] nan [10] nan [11] nan [12] nan [13] nan [14] nan [15] nan [16] nan [17] nan [18] nan [19] nan [20] nan [21] nan [22] nan [23] nan [24] nan [25] nan [26] nan [27] nan [28] nan [29] nan [30] nan [31] nan [32] nan [33] nan [34] nan [35] nan [36] nan [37] nan [38] nan [39] nan [40] 우리의 방법이 문제를 부분적으로 관찰 가능한 Markov 결정으로 공식화하는 충돌 회피 시스템 제품군인 ACAS X(Airborne Collision Avoidance System X)에서 느슨하게 영감을 받은 항공기 충돌 회피 신경망에 대한 의미 있는 확률적 안전 보장을 생성할 수 있음을 보여줍니다. 프로세스(POMDP). [41] nan [42] nan [43] nan [44] nan [45] nan [46] nan [47] nan [48] nan [49] nan [50]