107 results on '"Patric Jensfelt"'
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2. SeFlow: A Self-supervised Scene Flow Method in Autonomous Driving.
3. Towards Long-Range 3D Object Detection for Autonomous Vehicles.
4. DeFlow: Decoder of Scene Flow Network in Autonomous Driving.
5. Addressing Data Annotation Challenges in Multiple Sensors: A Solution for Scania Collected Datasets.
6. A Dynamic Points Removal Benchmark in Point Cloud Maps.
7. Happily Error After: Framework Development and User Study for Correcting Robot Perception Errors in Virtual Reality.
8. Applying 3D Object Detection from Self-Driving Cars to Mobile Robots: A Survey and Experiments.
9. What You See Is (not) What You Get: A VR Framework for Correcting Robot Errors.
10. Increasing Perceived Safety in Motion Planning for Human-Drone Interaction.
11. A Probabilistic Framework for Visual Localization in Ambiguous Scenes.
12. FloorGenT: Generative Vector Graphic Model of Floor Plans for Robotics.
13. Semantic 3D Grid Maps for Autonomous Driving.
14. On the Evaluation of RGB-D-Based Categorical Pose and Shape Estimation.
15. Cross-layer Configuration Optimization for Localization on Resource-constrained Devices.
16. Understanding Greediness in Map-Predictive Exploration Planning.
17. Towards Next Best View Planning for Time-Variant Scenes.
18. Long-Term Exploration in Unknown Dynamic Environments.
19. Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation.
20. Adversarial Feature Training for Generalizable Robotic Visuomotor Control.
21. Meta-Learning for Multi-objective Reinforcement Learning.
22. Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition.
23. Object Detection Approach for Robot Grasp Detection.
24. Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments.
25. Kitting in the Wild through Online Domain Adaptation.
26. Interactive, Collaborative Robots: Challenges and Opportunities.
27. The Obstacle-restriction Method for Tele-operation of Unmanned Aerial Vehicles with Restricted Motion.
28. Semantic Labeling of Indoor Environments from 3D RGB Maps.
29. Geometric and visual terrain classification for autonomous mobile navigation.
30. Autonomous meshing, texturing and recognition of object models with a mobile robot.
31. Human-centric partitioning of the environment.
32. Non-parametric spatial context structure learning for autonomous understanding of human environments.
33. On the use of unmanned aerial vehicles for autonomous object modeling.
34. Building a human behavior map from local observations.
35. Unsupervised object segmentation through change detection in a long term autonomy scenario.
36. Unsupervised learning of spatial-temporal models of objects in a long-term autonomy scenario.
37. Multi-scale conditional transition map: Modeling spatial-temporal dynamics of human movements with local and long-term correlations.
38. Querying 3D Data by Adjacency Graphs.
39. Probabilistic Primitive Refinement algorithm for colored point cloud data.
40. Retrieval of arbitrary 3D objects from robot observations.
41. A Comparison of Qualitative and Metric Spatial Relation Models for Scene Understanding.
42. Combining top-down spatial reasoning and bottom-up object class recognition for scene understanding.
43. Modeling motion patterns of dynamic objects by IOHMM.
44. Meta-rooms: Building and maintaining long term spatial models in a dynamic world.
45. KTH-3D-TOTAL: A 3D dataset for discovering spatial structures for long-term autonomous learning.
46. Kinect@Home: A Crowdsourced RGB-D Dataset.
47. Adaptive iterative closest keypoint.
48. Predicting What Lies Ahead in the Topology of Indoor Environments.
49. What can we learn from 38, 000 rooms? Reasoning about unexplored space in indoor environments.
50. Exploiting and modeling local 3D structure for predicting object locations.
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