Patric Jensfelt - Bayes theorem

(55:40)

Teaching robots to do the house work

(4:36)

Drone: Autonomous Navigation, Artificial Intelligence -Path Finding, System Design

(6:48)

HD-maps as Prior Information for Globally Consistent Mapping in GPS-denied Environments

(8:42)

WASP NEST-Project PerCorSo - interview with Jana Tumova

(3:55)

HD-maps as Prior Information for Globally Consistent Mapping in GPS-denied Environments

(10:33)

Self Supervised 3D Keypoint Learning for Ego Motion Estimation

(2:52)

Drone: Navigation,Localization and real time traffic sign Detection and classification

(2:18)

Flexible Disaster Response of Tomorrow: Final Presentation and Evaluation of the CENTAURO:System

(3:48)

A* Pathfinding Visualization Tutorial - Python A* Path Finding Tutorial

(1:33:2)

[CVPR'24 WAD] Challenge - Argoverse

(53:51)

[CVPR 2020 Tutorial] Talk #5 Self-supervised Learning by Licheng Yu, Yen-Chun Chen and Linjie Li

(52:18)

Autonomous Drone Navigation with Deep Learning. Flight over 250 meter Forest Trail

(3:20)

Bitcraze research compilation

(4:29)

Autonomous navigation robot with ROS (Raspberry pi + YDLIDAR)

(2:45)

GCNv2: Efficient Correspondence Prediction for Real-Time SLAM

(3:26)

29 - Key points, detectors and descriptors in openCV

(30:26)

Introduction to Semantics

(3:48)

SegMap: 3D Segment Mapping using Data-Driven Descriptors

(2:35)

Tekniklyftet: Patric Jensfeldt

(22:10)

Geometric Correspondence Network for Camera Motion Estimation

(2:1econd)

CoRL 2020, Spotlight Talk 464: Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation

(5:5)

A passion for robotics: Patrick’s placement story

(1:57)

Semantic Labeling of Indoor Environments from 3D RGB Maps

(2:46)

WASP Autonomous System I project - Crazyflie 2.0

(2:11)

Autonomous Drone - PRAS @ KTH

(1:29)

Danica Kragic (KTH) -- Robots learning to perceive, interact, and collaborate

(33:19)

SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving

(8:8)

Danica Kragić

(1:10)