Semantic mapping for mobile robotics tasks: A survey
نویسندگان
چکیده
The evolution of contemporary mobile robotics has given thrust to a series of additional conjunct technologies. Of such is the semantic mapping, which provides an abstraction of space and a means for human-robot communication. The recent introduction and evolution of semantic mapping motivated this survey, in which an explicit analysis of the existing methods is sought. The several algorithms are categorized according to their primary characteristics, namely scalability, inference model, temporal coherence and topological map usage. The applications involving semantic maps are also outlined in the work at hand, emphasizing on human interaction, knowledge representation and planning. The existence of public available validation datasets and benchmarking, suitable for the evaluation of semantic mapping techniques is also discussed in detail. Last, an attempt to address open issues and questions is also made.
منابع مشابه
Extracting Semantic Information from Visual Data: A Survey
The traditional environment maps built by mobile robots include both metric ones and topological ones. These maps are navigation-oriented and not adequate for service robots to interact with or serve human users who normally rely on the conceptual knowledge or semantic contents of the environment. Therefore, the construction of semantic maps becomes necessary for building an effective human-rob...
متن کاملSemantic Mapping with Mobile Robots
After decades of unrealistic predictions and expectations, robots have finally escaped from industrial workplaces and made their way into our homes, offices, museums and other public spaces. These service robots are increasingly present in our environments and many believe that it is in the area of service and domestic robotics that we will see the largest growth within the next few years. In o...
متن کاملImproved Mobile Robot Localization Using Semantic World Models
In mobile robotics, simultaneous localization and mapping is a complex problem. However, by using smart constraints, the problem can be reduced considerably. Instead of constraining the issue to a specific robotic system or its movement behavior, we show how semantic environment perception and modeling allows another point of view and therefore a convenient solution for the problem. We present ...
متن کاملDriven Learning for Driving: How Introspection Improves Semantic Mapping
This paper explores the suitability of commonly employed classification methods to action-selection tasks in robotics, and argues that a classifier’s introspective capacity is a vital but as yet largely under-appreciated attribute. As illustration we propose an active learning framework for semantic mapping in mobile robotics and demonstrate it in the context of autonomous driving. In this fram...
متن کاملSemantic perception, mapping and exploration
Semantic perception for intelligent systems and robots remains an active area of research with many recent advances that address a variety of problems. One key requirement that these systems have is to reason in spaces exceeding their local perceptual space. For example, a personal robot operating in human living spaces needs to continuously acquire and semantically understand perceptual inform...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Robotics and Autonomous Systems
دوره 66 شماره
صفحات -
تاریخ انتشار 2015