[HTML][HTML] A survey of state-of-the-art on visual SLAM
This paper is an overview to Visual Simultaneous Localization and Map** (V-SLAM). We
discuss the basic definitions in the SLAM and vision system fields and provide a review of …
discuss the basic definitions in the SLAM and vision system fields and provide a review of …
A review of visual-LiDAR fusion based simultaneous localization and map**
Autonomous navigation requires both a precise and robust map** and localization
solution. In this context, Simultaneous Localization and Map** (SLAM) is a very well …
solution. In this context, Simultaneous Localization and Map** (SLAM) is a very well …
Past, present, and future of simultaneous localization and map**: Toward the robust-perception age
Simultaneous localization and map** (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …
model of the environment (the map), and the estimation of the state of the robot moving …
Real-time loop closure in 2D LIDAR SLAM
Portable laser range-finders, further referred to as LIDAR, and simultaneous localization and
map** (SLAM) are an efficient method of acquiring as-built floor plans. Generating and …
map** (SLAM) are an efficient method of acquiring as-built floor plans. Generating and …
Factor graphs for robot perception
We review the use of factor graphs for the modeling and solving of large-scale inference
problems in robotics. Factor graphs are a family of probabilistic graphical models, other …
problems in robotics. Factor graphs are a family of probabilistic graphical models, other …
[HTML][HTML] Perception, planning, control, and coordination for autonomous vehicles
Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …
systems, as they offer potential for additional safety, increased productivity, greater …
You only look once: Unified, real-time object detection
We present YOLO, a new approach to object detection. Prior work on object detection
repurposes classifiers to perform detection. Instead, we frame object detection as a …
repurposes classifiers to perform detection. Instead, we frame object detection as a …
Geometry-aware learning of maps for camera localization
Maps are a key component in image-based camera localization and visual SLAM systems:
they are used to establish geometric constraints between images, correct drift in relative …
they are used to establish geometric constraints between images, correct drift in relative …