A review of multimodal image matching: Methods and applications
X Jiang, J Ma, G **: A survey of current trends in autonomous driving
In this paper, we propose a survey of the Simultaneous Localization And Map** (SLAM)
field when considering the recent evolution of autonomous driving. The growing interest …
field when considering the recent evolution of autonomous driving. The growing interest …
Benchmarking 6dof outdoor visual localization in changing conditions
Visual localization enables autonomous vehicles to navigate in their surroundings and
augmented reality applications to link virtual to real worlds. Practical visual localization …
augmented reality applications to link virtual to real worlds. Practical visual localization …
Long-term visual localization revisited
Visual localization enables autonomous vehicles to navigate in their surroundings and
augmented reality applications to link virtual to real worlds. Practical visual localization …
augmented reality applications to link virtual to real worlds. Practical visual localization …
Segmatch: Segment based place recognition in 3d point clouds
Place recognition in 3D data is a challenging task that has been commonly approached by
adapting image-based solutions. Methods based on local features suffer from ambiguity and …
adapting image-based solutions. Methods based on local features suffer from ambiguity and …
Artificial intelligence for long-term robot autonomy: A survey
Autonomous systems will play an essential role in many applications across diverse
domains including space, marine, air, field, road, and service robotics. They will assist us in …
domains including space, marine, air, field, road, and service robotics. They will assist us in …
A survey on visual-based localization: On the benefit of heterogeneous data
We are surrounded by plenty of information about our environment. From these multiple
sources, numerous data could be extracted: set of images, 3D model, coloured points …
sources, numerous data could be extracted: set of images, 3D model, coloured points …
A systematic literature review on long‐term localization and map** for mobile robots
Long‐term operation of robots creates new challenges to Simultaneous Localization and
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …
Long-term visual localization using semantically segmented images
Robust cross-seasonal localization is one of the major challenges in long-term visual
navigation of autonomous vehicles. In this paper, we exploit recent advances in semantic …
navigation of autonomous vehicles. In this paper, we exploit recent advances in semantic …
Visual slam for automated driving: Exploring the applications of deep learning
Deep learning has become the standard model for object detection and recognition.
Recently, there is progress on using CNN models for geometric vision tasks like depth …
Recently, there is progress on using CNN models for geometric vision tasks like depth …