Vision-centric bev perception: A survey
In recent years, vision-centric Bird's Eye View (BEV) perception has garnered significant
interest from both industry and academia due to its inherent advantages, such as providing …
interest from both industry and academia due to its inherent advantages, such as providing …
Recent advancements in deep learning applications and methods for autonomous navigation: A comprehensive review
AA Golroudbari, MH Sabour - arXiv preprint arXiv:2302.11089, 2023 - arxiv.org
This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …
major functions in This review paper presents a comprehensive overview of end-to-end …
Deep learning-based image 3-d object detection for autonomous driving
An accurate and robust perception system is key to understanding the driving environment
of autonomous driving and robots. Autonomous driving needs 3-D information about objects …
of autonomous driving and robots. Autonomous driving needs 3-D information about objects …
X3kd: Knowledge distillation across modalities, tasks and stages for multi-camera 3d object detection
Recent advances in 3D object detection (3DOD) have obtained remarkably strong results for
LiDAR-based models. In contrast, surround-view 3DOD models based on multiple camera …
LiDAR-based models. In contrast, surround-view 3DOD models based on multiple camera …
Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook
In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …
accurately assessing the state of the surrounding environment, thereby enabling informed …
MonoDiff: Monocular 3D Object Detection and Pose Estimation with Diffusion Models
Y Ranasinghe, D Hegde… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Abstract 3D object detection and pose estimation from a single-view image is challenging
due to the high uncertainty caused by the absence of 3D perception. As a solution recent …
due to the high uncertainty caused by the absence of 3D perception. As a solution recent …
Stereoscopic vision recalling memory for monocular 3D object detection
Monocular 3D object detection has drawn increasing attention in various human-related
applications, such as autonomous vehicles, due to its cost-effective property. On the other …
applications, such as autonomous vehicles, due to its cost-effective property. On the other …
Paint and distill: Boosting 3d object detection with semantic passing network
3D object detection task from lidar or camera sensors is essential for autonomous driving.
Pioneer attempts at multi-modality fusion complement the sparse lidar point clouds with rich …
Pioneer attempts at multi-modality fusion complement the sparse lidar point clouds with rich …
Monocular 3D object detection for construction scene analysis
J Shen, L Jiao, C Zhang, K Peng - Computer‐Aided Civil and …, 2024 - Wiley Online Library
Abstract Three‐dimensional (3D) object detection, that is, localizing and classifying all
critical objects in a 3D space, is essential for downstream construction scene analysis tasks …
critical objects in a 3D space, is essential for downstream construction scene analysis tasks …
Understanding depth map progressively: Adaptive distance interval separation for monocular 3d object detection
Monocular 3D object detection aims to locate objects in different scenes with just a single
image. Due to the absence of depth information, several monocular 3D detection techniques …
image. Due to the absence of depth information, several monocular 3D detection techniques …