{"product_id":"state-estimation-of-multi-agent-vehicle-road-interaction-systems-hardcover","title":"State Estimation of Multi-Agent Vehicle-Road Interaction Systems - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eYan Wang\u003c\/b\u003e (Author), \u003cb\u003eGuodong Yin\u003c\/b\u003e (Author), \u003cb\u003eChao Huang\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eUp-to-date discussions of the challenges and solutions in multi-agent vehicle-road interaction systems\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIn \u003ci\u003eState Estimation of Multi-Agent Vehicle-Road Interaction Systems, \u003c\/i\u003e a team of distinguished researchers introduces a novel conceptual framework that defines a system comprising vehicles and local road segments within a connected vehicle (V2X) environment--referred to as the vehicle neighborhood system. Creative estimation methods for both states and parameters within this system have been proposed and potential applications of these methods have been discussed. The book places particular emphasis on estimating and analyzing the motion states of the ego vehicle and the preceding vehicle, as well as the tire road friction coefficient.\u003c\/p\u003e \u003cp\u003eThe book covers a wide range of topics in the area of vehicle neighborhood systems, including sensor technologies, data fusion, filtering algorithms, engineering applications, and practical implementations of autonomous driving systems. It also explores common challenges in state and parameter estimation for related nonlinear systems, such as sensor data loss, unknown measurement noise, and model parameter perturbations. Corresponding solutions to these issues are proposed and discussed in detail.\u003c\/p\u003e \u003cp\u003eThe book also includes: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eA thorough introduction to ego-vehicle state estimation with sensor data loss\u003c\/li\u003e \u003cli\u003eComprehensive explorations of unknown noise and parameter perturbations in ego-vehicle state estimation\u003c\/li\u003e \u003cli\u003ePractical discussions of tire-road friction coefficient estimation with parameter mismatch and data loss\u003c\/li\u003e \u003cli\u003eComplete treatments of preceding vehicle state estimation\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for engineers and professionals with an interest in vehicle state estimation, \u003ci\u003eState Estimation of Multi-Agent Vehicle-Road Interaction Systems\u003c\/i\u003e will also benefit academics, scientists, and graduate students in areas like robotics, control systems, and autonomous systems.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eUp-to-date discussions of the challenges and solutions in state estimation of vehicle neighborhood systems\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eState Estimation of Multi-Agent Vehicle-Road Interaction Systems, \u003c\/i\u003e a team of distinguished researchers introduces a novel conceptual framework that defines a system comprising vehicles and local road segments within a connected vehicle (V2X) environment--referred to as the vehicle neighborhood system. Creative estimation methods for both states and parameters within this system have been proposed and potential applications of these methods have been discussed. The book places particular emphasis on estimating and analyzing the motion states of the ego vehicle and the preceding vehicle, as well as the tire road friction coefficient. \u003c\/p\u003e\u003cp\u003eThe book covers a wide range of topics in the area of vehicle neighborhood systems, including sensor technologies, data fusion, filtering algorithms, engineering applications, and practical implementations of autonomous driving systems. It also explores common challenges in state and parameter estimation for related nonlinear systems, such as sensor data loss, unknown measurement noise, and model parameter perturbations. Corresponding solutions to these issues are proposed and discussed in detail. \u003c\/p\u003e\u003cp\u003eThe book also includes: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e A thorough introduction to ego-vehicle state estimation with sensor data loss\u003c\/li\u003e\n\u003cli\u003e Comprehensive explorations of unknown noise and parameter perturbations in ego-vehicle state estimation\u003c\/li\u003e\n\u003cli\u003e Practical discussions of tire-road friction coefficient estimation with parameter mismatch and data loss\u003c\/li\u003e\n\u003cli\u003e Complete treatments of preceding vehicle state estimation\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003ePerfect for engineers and professionals with an interest in vehicle state estimation, \u003ci\u003eState Estimation of Multi-Agent Vehicle-Road Interaction Systems\u003c\/i\u003e will also benefit academics, scientists, and graduate students in areas like robotics, control systems, and autonomous systems.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eYan Wang, PhD, \u003c\/b\u003e is currently a Research Fellow at the Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eGuodong Yin, PhD, \u003c\/b\u003e is a Professor with the School of Mechanical Engineering, Southeast University. His research is focused on vehicle dynamics and control, automated vehicles, and connected vehicles. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eChao Huang, PhD, \u003c\/b\u003e is currently a Senior Lecturer at The University of Adelaide, Australia.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 320\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.75 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 12, 2025\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":53797672681779,"sku":"9781394293377","price":194.2,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/ZX69t5k_U9781394293377.webp?v=1785920004","url":"https:\/\/www.vysn.com\/en-ca\/products\/state-estimation-of-multi-agent-vehicle-road-interaction-systems-hardcover","provider":"VYSN","version":"1.0","type":"link"}