Real-Time Certified Probabilistic Pedestrian Forecasting
نویسندگان
چکیده
منابع مشابه
Technical Report for Real-Time Certified Probabilistic Pedestrian Forecasting
The success of autonomous systems will depend upon their ability to safely navigate human-centric environments. This motivates the need for a real-time, probabilistic forecasting algorithm for pedestrians, cyclists, and other agents since these predictions will form a necessary step in assessing the risk of any action. This paper presents a novel approach to probabilistic forecasting for pedest...
متن کاملReal Time Pedestrian Navigation System
This paper presents a real time pedestrian navigation system that combines different type of GPS receivers (namely High Sensitivity GPS and Assisted GPS) with several low-cost inertial sensors to face GPS outages and provide a reliable and continuous position solution. The off-the-shelf inertial module from Xsens is made of several low-cost MEMS type sensors contained in a very small package (5...
متن کاملPersonalized real time weather forecasting
Temperature forecasting and rain forecasting in today's environment is playing a major role in many fields like transportation, tour planning and agriculture. The purpose of this paper is to provide a real time forecasting to the user according to their current position and requirement. The simplest method of forecasting the weather, persistence, relies upon today's conditions to forecast the c...
متن کاملReal-Time Pedestrian Tracking in Natural Scenes
In computer vision real–time tracking of moving objects in natural scenes has become more and more important. In this paper we describe a complete system for data driven tracking of moving objects. We apply the system to tracking pedestrians in natural scenes. No specialized hardware is used. To achieve the necessary efficiency several principles of active vision, namely selection in space, tim...
متن کاملReal-Time Pedestrian Detection and Tracking
Pedestrian detection is a key problem in computer vision, with several applications that have the potential to positively impact the quality of life. This paper describes a comprehensive combination of feature extraction methods for vision-based pedestrian detection and tracking in Intelligent Systems based on monocular vision. First, we detect the pedestrian using Integral Channel Features and...
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: IEEE Robotics and Automation Letters
سال: 2017
ISSN: 2377-3766,2377-3774
DOI: 10.1109/lra.2017.2719762