Sökning: "stereokamera"
Visar resultat 1 - 5 av 7 uppsatser innehållade ordet stereokamera.
1. Localization and mapping with heterogeneous sensors : Map fusion with stereo camera and Lidar
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Heterogeneous multi-robot Simultaneous Localization and Mapping (SLAM) is the problem of building a map and localizing in it with multiple agents using different kinds of sensors, such as Lidars (light detection and ranging) and stereo cameras. While many solutions exist for both associating information from sensors of different kinds, and for creating a map with multiple sensors of the same type (homogeneous sensors), research in the combined topic is still at an early stage. LÄS MER
2. Collision Avoidance for a Fence Inspecting Drone Operating at an Airport
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Many important facilities are surrounded by security fences that need to be regularly inspected for damage. To automate this task it has been proposed to use a drone equipped with a camera. LÄS MER
3. Evaluation and Analysis of Perception Systems for Autonomous Driving
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : For safe mobility, an autonomous vehicle must perceive the surroundings accurately. There are many perception tasks associated with understanding the local environment such as object detection, localization, and lane analysis. LÄS MER
4. Collaborative Localization and Mapping with Heterogeneous Depth Sensors
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Simultaneous Localization and Mapping (SLAM) is the process in which a robot and other devices navigate in environments by simultaneously building a map of the surroundings and localizing itself within it. SLAM for single agents and specific sensors has matured during these last two decades. LÄS MER
5. Environment Perception for Autonomous Driving : A 1/10 Scale Implementation Of Low Level Sensor Fusion Using Occupancy Grid Mapping
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Autonomous Driving has recently gained a lot of recognition and provides challenging research with an aim to make transportation safer, more convenient and efficient. This emerging technology also has widespread applications and implications beyond all current expectations in other fields of robotics. LÄS MER
