A review of vision-based traffic semantic understanding in ITSs
J Chen, Q Wang, HH Cheng, W Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …
situations and emergencies more accurately and provide a more accurate basis for anomaly …
Towards deep radar perception for autonomous driving: Datasets, methods, and challenges
With recent developments, the performance of automotive radar has improved significantly.
The next generation of 4D radar can achieve imaging capability in the form of high …
The next generation of 4D radar can achieve imaging capability in the form of high …
Crn: Camera radar net for accurate, robust, efficient 3d perception
Autonomous driving requires an accurate and fast 3D perception system that includes 3D
object detection, tracking, and segmentation. Although recent low-cost camera-based …
object detection, tracking, and segmentation. Although recent low-cost camera-based …
Craft: Camera-radar 3d object detection with spatio-contextual fusion transformer
Camera and radar sensors have significant advantages in cost, reliability, and maintenance
compared to LiDAR. Existing fusion methods often fuse the outputs of single modalities at …
compared to LiDAR. Existing fusion methods often fuse the outputs of single modalities at …
Radar-camera fusion for object detection and semantic segmentation in autonomous driving: A comprehensive review
Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …
Directional connectivity-based segmentation of medical images
Anatomical consistency in biomarker segmentation is crucial for many medical image
analysis tasks. A promising paradigm for achieving anatomically consistent segmentation …
analysis tasks. A promising paradigm for achieving anatomically consistent segmentation …
Deep depth estimation from thermal image
Robust and accurate geometric understanding against adverse weather conditions is one
top prioritized conditions to achieve a high-level autonomy of self-driving cars. However …
top prioritized conditions to achieve a high-level autonomy of self-driving cars. However …
Depth estimation from camera image and mmwave radar point cloud
We present a method for inferring dense depth from a camera image and a sparse noisy
radar point cloud. We first describe the mechanics behind mmWave radar point cloud …
radar point cloud. We first describe the mechanics behind mmWave radar point cloud …
[HTML][HTML] Vehicle-to-everything (V2X) in the autonomous vehicles domain–A technical review of communication, sensor, and AI technologies for road user safety
Autonomous vehicles (AV) are rapidly becoming integrated into everyday life, with several
countries anticipating their inclusion in public transport networks in the coming years. Safety …
countries anticipating their inclusion in public transport networks in the coming years. Safety …
RADIANT: Radar-image association network for 3D object detection
As a direct depth sensor, radar holds promise as a tool to improve monocular 3D object
detection, which suffers from depth errors, due in part to the depth-scale ambiguity. On the …
detection, which suffers from depth errors, due in part to the depth-scale ambiguity. On the …