Motion planning for autonomous driving: The state of the art and future perspectives
Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …
convenience, safety advantages, and potential commercial value. Despite predictions of …
[HTML][HTML] A survey of state-of-the-art on visual SLAM
This paper is an overview to Visual Simultaneous Localization and Mapping (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 …
[HTML][HTML] Perception and sensing for autonomous vehicles under adverse weather conditions: A survey
Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …
industry and offer new possibilities for future transportation with higher efficiency and …
ACDC: The adverse conditions dataset with correspondences for semantic driving scene understanding
Level 5 autonomy for self-driving cars requires a robust visual perception system that can
parse input images under any visual condition. However, existing semantic segmentation …
parse input images under any visual condition. However, existing semantic segmentation …
[HTML][HTML] A review of multi-sensor fusion slam systems based on 3D LIDAR
The ability of intelligent unmanned platforms to achieve autonomous navigation and
positioning in a large-scale environment has become increasingly demanding, in which …
positioning in a large-scale environment has become increasingly demanding, in which …
Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition
Abstract Visual Place Recognition is a challenging task for robotics and autonomous
systems, which must deal with the twin problems of appearance and viewpoint change in an …
systems, which must deal with the twin problems of appearance and viewpoint change in an …
Rethinking visual geo-localization for large-scale applications
Visual Geo-localization (VG) is the task of estimating the position where a given photo was
taken by comparing it with a large database of images of known locations. To investigate …
taken by comparing it with a large database of images of known locations. To investigate …
Offline reinforcement learning: Tutorial, review, and perspectives on open problems
In this tutorial article, we aim to provide the reader with the conceptual tools needed to get
started on research on offline reinforcement learning algorithms: reinforcement learning …
started on research on offline reinforcement learning algorithms: reinforcement learning …
Back to the feature: Learning robust camera localization from pixels to pose
Camera pose estimation in known scenes is a 3D geometry task recently tackled by multiple
learning algorithms. Many regress precise geometric quantities, like poses or 3D points …
learning algorithms. Many regress precise geometric quantities, like poses or 3D points …
A survey of deep learning techniques for autonomous driving
The last decade witnessed increasingly rapid progress in self‐driving vehicle technology,
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …