Planning and decision-making for autonomous vehicles
In this review, we provide an overview of emerging trends and challenges in the field of
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …
Deep learning sensor fusion for autonomous vehicle perception and localization: A review
Autonomous vehicles (AV) are expected to improve, reshape, and revolutionize the future of
ground transportation. It is anticipated that ordinary vehicles will one day be replaced with …
ground transportation. It is anticipated that ordinary vehicles will one day be replaced with …
Direct sparse odometry
Direct Sparse Odometry (DSO) is a visual odometry method based on a novel, highly
accurate sparse and direct structure and motion formulation. It combines a fully direct …
accurate sparse and direct structure and motion formulation. It combines a fully direct …
RTAB‐Map as an open‐source lidar and visual simultaneous localization and map** library for large‐scale and long‐term online operation
Distributed as an open‐source library since 2013, real‐time appearance‐based map**
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …
Cfnet: Cascade and fused cost volume for robust stereo matching
Recently, the ever-increasing capacity of large-scale annotated datasets has led to profound
progress in stereo matching. However, most of these successes are limited to a specific …
progress in stereo matching. However, most of these successes are limited to a specific …
Computer vision for autonomous vehicles: Problems, datasets and state of the art
Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …
F-loam: Fast lidar odometry and map**
Simultaneous Localization and Map** (SLAM) has wide robotic applications such as
autonomous driving and unmanned aerial vehicles. Both computational efficiency and …
autonomous driving and unmanned aerial vehicles. Both computational efficiency and …
Visual SLAM algorithms: A survey from 2010 to 2016
SLAM is an abbreviation for simultaneous localization and map**, which is a technique for
estimating sensor motion and reconstructing structure in an unknown environment …
estimating sensor motion and reconstructing structure in an unknown environment …