Learning scenario-specific vehicle motion models for intelligent infrastructure applications
نویسندگان
چکیده
منابع مشابه
Geometric Abstractions of Vehicle Dynamical Models for Autonomous Intelligent Motion
Motion-planning for autonomous vehicles involves a two-level planning hierarchy: a high-level task-planning algorithm and a lower-level trajectory generation algorithm. The task planner operates on a discrete structure, such as a graph, whereas the trajectory generator operates on a dynamical system with a continuous state space. The problem of ensuring “compatibility” between these two planner...
متن کاملIntelligent Vehicle Applications Worldwide
one component of intelligent transportation systems, IV systems use sensing and intelligent algorithms to understand the vehicle’s immediate environment, either assisting the driver or fully controlling the vehicle. Following the success of information-oriented systems, IV systems will likely be the “next wave” for ITS, functioning at the control layer to enable the driver–vehicle “subsystem” t...
متن کاملOntology-based infrastructure for intelligent applications
Ontologien sind derzeit ein viel diskutiertes Thema in Bereichen wie Wissensmanagement oder Enterprise Application Integration. Diese Arbeit stellt dar, wie Ontologien als Infrastruktur zur Entwicklung neuartiger Applikationen verwendet werden können, die den User bei verschiedenen Arbeiten unterstützen. Aufbauend auf den im Rahmen des Semantischen Webs entstandenen Spezifikationen, werden drei...
متن کاملVehicle Models for RTS Applications
A vehicle system dynamics model is presented that captures the essential braking and handling behavior of a passenger car and runs faster than real-time on a Pentium 233 MHz computer. The simulation code was generated with the AutoSim mutlbody code generator and linked with C functions that communicate with braking hardware to create a real-time simulation (RTS) with hardware in the loop (HITL)...
متن کاملFault Diagnostics for Intelligent Vehicle Applications Fault Diagnostics for Intelligent Vehicle Applications 7. Author(s) 8. Performing Organization Report No
This project involved the development of a fault diagnostic system for Safetruck, an intelligent vehicle prototype. The fault diagnostic system continuously monitors the health of vehicle sensors, detects a failure when it happens, and identifies the source of the failure. The fault diagnostic system monitors several key components: the Global Positioning System, lateral accelerometer, and yaw-...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2019
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2019.08.057