Neural network-based recent research developments in SLAM for autonomous ground vehicles: A review
H Saleem, R Malekian, H Munir - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The development of autonomous vehicles has prompted an interest in exploring various
techniques in navigation. One such technique is simultaneous localization and mapping …
techniques in navigation. One such technique is simultaneous localization and mapping …
High-definition maps: Comprehensive survey, challenges and future perspectives
G Elghazaly, R Frank, S Harvey… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
In cooperative, connected, and automated mobility (CCAM), the more automated vehicles
can perceive, model, and analyze the surrounding environment, the more they become …
can perceive, model, and analyze the surrounding environment, the more they become …
Localization is all you evaluate: Data leakage in online mapping datasets and how to fix it
The task of online mapping is to predict a local map using current sensor observations eg
from lidar and camera without relying on a pre-built map. State-of-the-art methods are based …
from lidar and camera without relying on a pre-built map. State-of-the-art methods are based …
Latitude: Robotic global localization with truncated dynamic low-pass filter in city-scale nerf
Neural Radiance Fields (NeRFs) have made great success in representing complex 3D
scenes with high-resolution details and efficient memory. Nevertheless, current NeRF-based …
scenes with high-resolution details and efficient memory. Nevertheless, current NeRF-based …
High-precision positioning, perception and safe navigation for automated heavy-duty mining trucks
Autonomous driving technology has achieved significant breakthroughs in open scenarios,
enabling the deployment of excellent positioning, detection, and navigation algorithms on …
enabling the deployment of excellent positioning, detection, and navigation algorithms on …
Deepmapping2: Self-supervised large-scale lidar map optimization
LiDAR mapping is important yet challenging in self-driving and mobile robotics. To tackle
such a global point cloud registration problem, DeepMapping converts the complex map …
such a global point cloud registration problem, DeepMapping converts the complex map …
Visual SLAM combining lines and structural regularities: Towards robust localization
W Zhao, H Sun, X Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Visual Simultaneous Localization and Mapping (VSLAM), which serves as the primary
technique for locating autonomous vehicles, has gained tremendous development over the …
technique for locating autonomous vehicles, has gained tremendous development over the …
RaLiBEV: Radar and LiDAR BEV fusion learning for anchor box free object detection system
In autonomous driving systems, LiDAR and radar play important roles in the perception of
the surrounding environment. LiDAR provides accurate 3D spatial sensing information but …
the surrounding environment. LiDAR provides accurate 3D spatial sensing information but …
Development and Prospects of High Definition Map for Intelligent Vehicle
Objectives The development of high definition (HD) map is of paramount importance in
advancing the digital infrastructure of transportation and serves as a fundamental …
advancing the digital infrastructure of transportation and serves as a fundamental …
Glio: Tightly-coupled gnss/lidar/imu integration for continuous and drift-free state estimation of intelligent vehicles in urban areas
Intelligent vehicles demand reliable, continuous, and accurate positioning capability. Light
Detection and Ranging (LiDAR)-inertial odometry (LIO) provides precise continuous relative …
Detection and Ranging (LiDAR)-inertial odometry (LIO) provides precise continuous relative …