Intelligent Collision Avoidance Research Articles

Advanced Driver Assistance System using Vehicle to Vehicle communication

Increasing numbers of vehicles on the road are adding to the problems associated with road traffic. Efficient monitoring of vehicles is need of time for smooth traffic flow. Safety System for Vehicle collision avoidance is prime challenge to be met. Many technologies are in action for collision free traffic. Pertaining to this, Intelligent Collision Avoidance (ICWA) system based on V2V (Vehicle to Vehicle) Communication is proposed which addresses the issue of collision avoidance. ICWA is one of the leading research feature of Advanced Driver Assistance System (ADAS). In this optimized algorithm is developed for collision avoidance, safety zones are created for each vehicle. Overlapping of these safety zones found by this algorithm. It establishes Vehicle to Vehicle communication through wireless protocol Wi-Fi. In this frames Contain vehicular parameters (speed, location of car, turn signal etc.). Each car can transmit and receive the frames from other cars which are within the communication range. This information is takes as input to collision avoidance warning system algorithm. If there is accidental situation, system gives warning to the driver. Apart from this, Android application is developed to make the system more secure and user friendly. The system is implemented on Virtual car environment with street map and gives the warning based on the accidental situation predicted by the algorithm using vehicular information of all cars within the range of communication.

Simulation on Vessel Intelligent Collision Avoidance Based on Artificial Fish Swarm Algorithm

Abstract TAs the rapid development of the ship equipments and navigation technology, vessel intelligent collision avoidance theory was researched world widely. Meantime, more and more ship intelligent collision avoidance products are put into use. It not only makes the ship much safer, but also lighten the officers work intensity and improve the ship’s economy. The paper based on the International Regulation for Preventing Collision at sea and ship domain theories, with the ship proceeding distance when collision avoidance as the objective function, through the artificial fish swarm algorithm to optimize the collision avoidance path, and finally simulates overtaking situation, crossing situation and head-on situation three classic meeting situation of ships on the sea by VC++ computer language. Calculation and simulation results are basically consistent with the actual situation which certifies that its validity.

Advanced algorithms for cloud and modern information systems

Existing information systems are experiencing a bottleneck in dealing with complexity, dynamics, and uncertainties in their applications. After the technologies of integrated circuits, personal computers, and the Internet, Cloud computing is the latest information technology that is radically changing our daily life. With the fast development of cloud computing technology, various modern information network systems such as navigation system, fault Diagnosis system, indoor position system, resource management system, face detection system, and large-scale information system have achieved great advancement in recent years. The cloud and modern information systems should support data distribution, resource management, incomplete information processing, etc. This special issue brings together research articles covering advanced algorithms for cloud and modern information systems, including intelligent collision avoidance model for submarine in underwater navigation environment, fault diagnosis system for large diesel fuel engine, RFID-based three-dimensional (3D) indoor positioning system (IPS), QoS-aware mechanism in cloud, low-power mapping algorithm for 3D network on chip (NoC), new cascade classifier system for face detection, and improved genetic algorithm in the electroencephalographic (EEG)-based mental workload evaluation for miners. The papers in this special issue are arranged as follows. Yan-hua Liang and Chengtao Chen in the first paper ‘‘Intelligent Collision Avoidance based on 2D Risk model’’ proposed a novel and efficient collision risk model for handling with the challenging and imperative issue. The concepts of detection domain and fuzzy logic are adopted for modelling the degree of collision risk. The detection domain is used as the submarine safety scope when navigating under water, while the fuzzy logic is used as the mathematical implement for the analysis and synthesis of relations between obstacles or other submarines that are met in the navigation environment. The collision risk is regarded as one effective evaluation function that reflects which exact action should be done when the threshold of the risk degree is met. The second paper by Li et al. ‘‘Fault Diagnosis for Large Diesel Fuel Engine Based on Chaotic Fractal Method’’ investigates the chaotic fractal characteristics during the combustion process of the diesel engine fuel system to build an effective fault diagnosis method for large fuel engine based on chaotic fractal method. Considering the two kinds of typical failure modes, the two important characteristic parameters variation trend for chaotic system, namely, correlation dimensions, and the calculation methods of the maximum Lyapunov exponent are discussed. The results showed that the maximum Lyapunov exponent method is more proper to system fault detection. In the third paper ‘‘A Novel RFID ThreeDimensional Indoor Positioning System based on Trilateral Positioning Algorithm,’’ Xu et al. design and implement the RFID IPS based on received signal strength indicator (RSSI), which obtains 3D coordinates orientation through multiple trilateral positioning algorithm on location tag. RFID is the key component of the internet of things (IoT) and many fusion application systems combining RFID and cloud computing are emerging. The authors’ work in the IPS can deal with the problem that GPS system cannot provide indoor positioning services. Ye et al. in the fourth paper ‘‘A Novel QoS-Aware Mechanism for Provisioning of Virtual Machine Resource in Cloud’’ focus on efficient low-level resource provisioning and QoS guaranteed. A novel adaptive QoS-aware virtual machine provisioning mechanism is proposed to ensure efficient utilization of the system low-level resources. The VM for similar type of requests has been recycled so that the VM creation time can be minimized and used to serve more user requests. In the proposed model, QoS is linked by

Intelligent collision avoidance based on two-dimensional risk model

The collision avoidance and path planning technology is an important issue for submarine research field. It is essential and crucial for submarine to navigate underwater safely. There are lots of drawbacks for ensuring this important mission. For handling with the challenging and imperative issue, a novel and efficient collision risk model is proposed. A serial of motions of the submarine to be processed for fulfilling the collision avoidance based on this approach. The concepts of detection domain and fuzzy logic are adopted for modeling the degree of collision risk. The detection domain is used as the submarine safety scope when navigating underwater while the fuzzy logic is used as the mathematical implement for the analysis and synthesis of relations between obstacles or other submarines that are met in the navigation environment. The collision risk is regarded as one effective evaluation function that reflects which exact action should be done when the threshold of the risk degree is met. In order to verify the performance of proposed method, multisubmarines simulation experiments are concluded in different scenarios.

Deliberative collision avoidance for unmanned surface vehicle based on the directional weight

The purpose of this study is to realize the intelligent deliberative obstacle avoidance for unmanned surface vehicle (USV), based on the International Regulations for Preventing Collisions at Sea called COLREGS. Firstly, a three-level system architecture is designed for the ship intelligent collision avoidance system. Secondly, an intelligent collision avoidance algorithm is presented based on the calculation of motion parameters and the rules of COLREGS. Thirdly, according to COLREGS, the marine environment is modeled from the electronic chart data and radar information, and a deliberative collision avoidance algorithm is written. Finally, the deliberative collision avoidance simulation is carried out for the USV. The feasibility and reliability of intelligent collision avoidance algorithm are verified by the vivid simulation results.

Study and Simulation on Intelligent Multi-Ship Collision Avoidance Strategy

Study and Simulation on Intelligent Multi-Ship Collision Avoidance Strategy

A FRAMEWORK FOR APPLYING SURROGATE SAFETY MEASURES FOR SIDESWIPE CONFLICTS

Surrogate safety measures (SSM) as indicators of accidents are useful tools in safety evaluations. Nowadays, developing intelligent vehicles without drivers in order to reduce the human errors is a popular topic in civil engineering. Such vehicles are equipped with intelligent collision avoidance systems (CAS), in which safety indicators are applied as warning strategies. Heretofore, different safety indicators have been developed, but most of them are suitable for rear-end conflicts. In this paper, a new framework is proposed to calculate the risk of sideswipe collisions at each instant based on SSM. For this purpose, time-to-collision (TTC) and post-encroachment time (PET), as the most important time-based indicators would be applied and a new method would be presented to calculate these indicators. The application of the framework is illustrated by microscopic traffic data for an arterial road. In all, the new framework has three main applications: 1- As a warning strategy for CAS, 2- Specifying dangerous positions and 3- Identifying aggressive drivers.

Design and Implementation of Underground Locomotive Collision Avoidance System

combined with the characteristics of the current market a variety of vehicle anti-collision device, design a kind of mine intelligent motor vehicle collision avoidance system. The device has the microcomputer real-time control and data processing functions, combined with ultrasonic ranging technology, sensor technology, distance and motor car speed front obstacle detection of motor vehicle operation object and the motor vehicle, display the distance through the digital display device, and is composed of a sound circuit according to the distance warning sound. So as to achieve the active prevention of downhole safety accident and reduce downhole accidents in essence.

Research on Vessel Intelligent Collision Avoidance System Based on AIS and ECDIS

Research on Vessel Intelligent Collision Avoidance System Based on AIS and ECDIS

A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvres

In recent years unmanned vehicles have grown in popularity, with an ever increasing number of applications in industry, the military and research within air, ground and marine domains. In particular, the challenges posed by unmanned marine vehicles in order to increase the level of autonomy include automatic obstacle avoidance and conformance with the Rules of the Road when navigating in the presence of other maritime traffic. The USV Master Plan which has been established for the US Navy outlines a list of objectives for improving autonomy in order to increase mission diversity and reduce the amount of supervisory intervention. This paper addresses the specific development needs based on notable research carried out to date, primarily with regard to navigation, guidance, control and motion planning. The integration of the International Regulations for Avoiding Collisions at Sea within the obstacle avoidance protocols seeks to prevent maritime accidents attributed to human error. The addition of these critical safety measures may be key to a future growth in demand for USVs, as they serve to pave the way for establishing legal policies for unmanned vessels.

Intelligent Ocean Navigation and Fuzzy-Bayesian Decision/Action Formulation

This paper focuses on the formulation of a decision-action execution model that can facilitate intelligent collision avoidance features in ocean navigation systems, while respecting the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs) rules and regulations of collision avoidance. The decision/action process in this work consists of a fuzzy-logic-based parallel decision-making (PDM) module whose decisions are formulated into sequential actions by a Bayesian-network-based module. Therefore, the paper presents a collision avoidance system (CAS) that is capable of making multiple parallel collision avoidance decisions regarding several target vessel collision conditions, and those decisions are executed as sequential actions to avoid complex collision situations in ocean navigation.

Two-level clustering-based techniques for intelligent droplet routing in digital microfluidic biochips

Current development of micro fabrication and microfluidic technology enables the digital microfluidic biochips (DMFB) to offer a platform for developing diagnostic applications with the advantages of portability, increased automation, low-power consumption, ease of mass manufacturing, and high throughput. A digital microfluidic system typically consists of a planar array of cells with electrodes that control individual droplets of biological samples. Chemical analysis is performed by moving, mixing, and splitting of droplets. A major issue in biochip layout design is the coordination of simultaneous movement of multiple droplets. It involves the scheduling of movement of a number of droplets in a time-multiplexed manner to avoid their cross-contamination. In this paper we propose a clustering technique to achieve routing of maximum number of samples from a given set of sub-problems in the same planar array with intelligent collision avoidance. A new cluster-based route-aware placement technique is also proposed that enhances the performance of droplet routing, accommodating larger number of concurrently routed sub-problems in the same planar array. The objectives considered are minimizing the latest arrival time of droplets, total routing time of droplets and the overall cell utilization. Experimental simulation results obtained using testbenches for benchmark suite III are found to be better than the recent existing works.

An intelligent collision avoidance system for AUVs using fuzzy relational products

This paper describes a heuristic search technique carrying out collision avoidance for autonomous underwater vehicles (AUVs). Fuzzy relational products are used as the mathematical implement for the analysis and synthesis of relations between obstacles that are met in the navigation environment and available candidate nodes. In this paper, we propose a more effective evaluation function that reflects the heuristic information of domain experts on obstacle clearance, and an advanced heuristic search method performing collision avoidance for AUVs. The search technique adopts fuzzy relational products to conduct path-planning of intelligent navigation system. In order to verify the performance of proposed heuristic search, it is compared with A ∗ search method through simulation in view of the CPU time, the optimization of path and the amount of memory usage.

Research advances in intelligent collision avoidance and adaptive cruise control

This paper looks into recent developments and research trends in collision avoidance/warning systems and automation of vehicle longitudinal/lateral control tasks. It is an attempt to provide a bigger picture of the very diverse, detailed and highly multidisciplinary research in this area. Based on diversely selected research, this paper explains the initiatives for automation in different levels of transportation system with a specific emphasis on the vehicle-level automation. Human factor studies and legal issues are analyzed as well as control algorithms. Drivers' comfort and well being, increased safety, and increased highway capacity are among the most important initiatives counted for automation. However, sometimes these are contradictory requirements. Relying on an analytical survey of the published research, we will try to provide a more clear understanding of the impact of automation/warning systems on each of the above-mentioned factors. The discussion of sensory issues requires a dedicated paper due to its broad range and is not addressed in this paper.

Introduction to the Special Issue on Learning in Intelligent Algorithms and Systems Design

Introduction to the Special Issue on Learning in Intelligent Algorithms and Systems Design

Design of Self-Learning Hierarchical Fuzzy Logic for Guidance and Control of Multirobot Systems

Increased application of fuzzy logic to complex control raises a need for a structured methodological approach to developing fuzzy logic systems, which are currently developed based on individualistic bases and cannot face the challenge of interacting with other (fuzzy) systems in a dynamic environment. We propose designing self-learning hierarchical fuzzy logic control based on the integration of evolutionary algorithms and fuzzy logic to provide an integrated knowledge base for intelligent control and collision avoidance among multiple robots. Robots are considered point masses moving in common work space. Evolutionary algorithms are used as an adaptive method for learning the fuzzy knowledge base of control systems and learning, mapping, and interaction between fuzzy knowledge bases of different fuzzy logic systems.

Intelligent collision avoidance by fuzzy logic control

A fuzzy approach to collision avoidance for automated guided vehicle (AGV) navigation has been proposed in our earlier work. By fuzzy inference, an AGV was guided from the starting point toward the target without colliding with any static obstacle as well as moving obstacle. In the present study, emphasis is on some difficult issues concerning AGV navigation, including sensor modeling and trap recovering. In sensor modeling, we wish to find the minimum number of sensors and their optimal arrangement on an AGV, so that the views of all angles can be seen by the AGV. In trap recovering, fuzzy logic and crisp reasoning are combined to guide an AGV to get out of a trap. Moreover, the AGV's ability to avoid collision with unknown moving obstacles is improved in the study. Simulation results are presented to show the feasibility of the proposed approach.

Intelligent collision avoidance planning of a robot manipulator whose workspace includes moving objects

The collision avoidance problem of a robot manipulator whose workspace includes moving objects is considered in this paper. It is shown that the proposed computer simulation system can be used in a dialogue mode with a designer to check whether or not collision with obstacles is avoided and to determine the appropriate movement.