Autonomous driving system: A comprehensive survey
Automation is increasingly at the forefront of transportation research, with the potential to
bring fully autonomous vehicles to our roads in the coming years. This comprehensive …
bring fully autonomous vehicles to our roads in the coming years. This comprehensive …
Advances in inference and representation for simultaneous localization and mapping
DM Rosen, KJ Doherty… - Annual Review of …, 2021 - annualreviews.org
Simultaneous localization and mapping (SLAM) is the process of constructing a global
model of an environment from local observations of it; this is a foundational capability for …
model of an environment from local observations of it; this is a foundational capability for …
Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d
For the last few decades, several major subfields of artificial intelligence including computer
vision, graphics, and robotics have progressed largely independently from each other …
vision, graphics, and robotics have progressed largely independently from each other …
Robust dynamic radiance fields
Dynamic radiance field reconstruction methods aim to model the time-varying structure and
appearance of a dynamic scene. Existing methods, however, assume that accurate camera …
appearance of a dynamic scene. Existing methods, however, assume that accurate camera …
Cosypose: Consistent multi-view multi-object 6d pose estimation
We introduce an approach for recovering the 6D pose of multiple known objects in a scene
captured by a set of input images with unknown camera viewpoints. First, we present a …
captured by a set of input images with unknown camera viewpoints. First, we present a …
DynaSLAM II: Tightly-coupled multi-object tracking and SLAM
The assumption of scene rigidity is common in visual SLAM algorithms. However, it limits
their applicability in populated real-world environments. Furthermore, most scenarios …
their applicability in populated real-world environments. Furthermore, most scenarios …
Rtm3d: Real-time monocular 3d detection from object keypoints for autonomous driving
P Li, H Zhao, P Liu, F Cao - European Conference on Computer Vision, 2020 - Springer
In this work, we propose an efficient and accurate monocular 3D detection framework in
single shot. Most successful 3D detectors take the projection constraint from the 3D …
single shot. Most successful 3D detectors take the projection constraint from the 3D …
Blitz-SLAM: A semantic SLAM in dynamic environments
Y Fan, Q Zhang, Y Tang, S Liu, H Han - Pattern Recognition, 2022 - Elsevier
Static environment is a prerequisite for most of visual simultaneous localization and
mapping systems. Such a strong assumption limits the practical application of most existing …
mapping systems. Such a strong assumption limits the practical application of most existing …
VDO-SLAM: A visual dynamic object-aware SLAM system
Combining Simultaneous Localisation and Mapping (SLAM) estimation and dynamic scene
modelling can highly benefit robot autonomy in dynamic environments. Robot path planning …
modelling can highly benefit robot autonomy in dynamic environments. Robot path planning …
Robust odometry and mapping for multi-lidar systems with online extrinsic calibration
Combining multiple LiDARs enables a robot to maximize its perceptual awareness of
environments and obtain sufficient measurements, which is promising for simultaneous …
environments and obtain sufficient measurements, which is promising for simultaneous …