Sökning: "camera navigation"
Visar resultat 1 - 5 av 92 uppsatser innehållade orden camera navigation.
1. Movement Estimation with SLAM through Multimodal Sensor Fusion
Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenSammanfattning : In the field of robotics and self-navigation, Simultaneous Localization and Mapping (SLAM) is a technique crucial for estimating poses while concurrently creating a map of the environment. Robotics applications often rely on various sensors for pose estimation, including cameras, inertial measurement units (IMUs), and more. LÄS MER
2. Robust light source detection for AUV docking
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : For Autonomous Underwater Vehicles (AUVs) to be able to conduct longterm surveys, the ability to return to a docking station for maintenance and recharging is crucial. A dynamic docking system where a slowly moving submarine acts as the docking station provides increased hydrodynamic control and reduces the impact of environmental disturbances. LÄS MER
3. MmWave Radar-based Deep Learning Collision Prediction
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Autonomous drone navigation in classical approaches typically involves constructing a map representation and employing path planning and collision checking algorithms within that map. Recently, novel deep learning techniques combined with depth camera observations have emerged as alternative approaches capable of achieving comparable collision-free performance. LÄS MER
4. Map Based Sensor Fusion for Lane Boundary Estimation on ADAS
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A vehicles ability to detect and estimate its surroundings is important for ensuring the safety of the vehicle and passengers regardless of the level of vehicle autonomy. With an improved road and lane estimation, advanced driver-assistance systems will be able to provide earlier and more accurate warnings and actions to prevent a possible accident. LÄS MER
5. Velocity Obstacle method adapted for Dynamic Window Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis project is part of an internship at Visual Behavior. The company aims at producing computer vision models for robotics, helping the machine to better understand the world through the camera eye. The image holds many features that deep learning models are able to extract: navigable area, depth inference and object detection. LÄS MER