Essays about: "autonomous map building"
Showing result 1 - 5 of 16 essays containing the words autonomous map building.
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1. Compact Radar System
University essay from Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskapAbstract : Context: Radar was developed in secret during world war II to detectobstacles or any incoming threat. The term radar was coined in 1940by United States Military as an acronym for "Radio Detection andRanging". Using radio waves a radar detects any incoming threat orobstacle [10]. The basic purpose of radar is for monitoring and security. READ MORE
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2. FPGA Implementation of Feature Matching in ORB-SLAM2
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Simultaneous Localization And Mapping (SLAM) is an important component in solving the problem of autonomous navigation — allowing machines such as selfdriving cars and mobile robots to find their way in the world without human instruction. Though there is a steadily growing body of literature in the field of SLAM, far fewer works currently address using hardware acceleration to speed up this computationally heavy task. READ MORE
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3. Semantic UFOMap : Semantic Information in Octree Occupancy Maps
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Many autonomous robots operating in unknown and unstructured environments rely on building a dense 3D map of it during exploration. What tasks the robot can perform depends on the information stored in this map. READ MORE
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4. Heterogeneous collaborative SLAM : localization between camera and depth sensors
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The heterogeneous collaborative simultaneous localization and mapping (SLAM) problem can be described as finding a way in which agents with different types of sensors, such as cameras or depth sensors, can collaboratively build a map and localize in it, although the environment has been mapped with a sensor different from the agent’s. The main challenge of this field is how to homogenize such heterogeneous information, images from cameras and structures from depth sensors, so that the information can be used and understood independently of its source. READ MORE
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5. Autonomous Aerial Void Exploration
University essay from Luleå tekniska universitet/DatavetenskapAbstract : Deploying robots in unknown and complex areas for inspection tasks is becoming a real need for various application scenarios. Recently, there has been an increasing interest to develop and use autonomous aerial robots in environments such as urban voids and subterranean mine tunnels, aiming to decrease the human presence in dangerous or inaccessible areas. READ MORE
