V2X cooperative perception for autonomous driving: Recent advances and challenges
Accurate perception is essential for advancing autonomous driving and addressing safety
challenges in modern transportation systems. Despite significant advancements in computer …
challenges in modern transportation systems. Despite significant advancements in computer …
Grid-centric traffic scenario perception for autonomous driving: A comprehensive review
Grid-centric perception is a crucial field for mobile robot perception and navigation.
Nonetheless, grid-centric perception is less prevalent than object-centric perception for …
Nonetheless, grid-centric perception is less prevalent than object-centric perception for …
SMURF: Spatial multi-representation fusion for 3D object detection with 4D imaging radar
The 4D millimeter-Wave (mmWave) radar is a promising technology for vehicle sensing due
to its cost-effectiveness and operability in adverse weather conditions. However, the …
to its cost-effectiveness and operability in adverse weather conditions. However, the …
LXL: LiDAR excluded lean 3D object detection with 4D imaging radar and camera fusion
As an emerging technology and a relatively affordable device, the 4D imaging radar has
already been confirmed effective in performing 3D object detection in autonomous driving …
already been confirmed effective in performing 3D object detection in autonomous driving …
Rcfusion: Fusing 4-d radar and camera with bird's-eye view features for 3-d object detection
Camera and millimeter-wave (MMW) radar fusion is essential for accurate and robust
autonomous driving systems. With the advancement of radar technology, next-generation …
autonomous driving systems. With the advancement of radar technology, next-generation …
Which framework is suitable for online 3d multi-object tracking for autonomous driving with automotive 4d imaging radar?
Online 3D multi-object tracking (MOT) has recently received significant research interests
due to the expanding demand of 3D perception in advanced driver assistance systems …
due to the expanding demand of 3D perception in advanced driver assistance systems …
LEGO: Learning and graph-optimized modular tracker for online multi-object tracking with point clouds
Online multi-object tracking (MOT) plays a pivotal role in autonomous systems. The state-of-
the-art approaches usually employ a tracking-by-detection method, and data association …
the-art approaches usually employ a tracking-by-detection method, and data association …
Lxl: Lidar exclusive lean 3d object detection with 4d imaging radar and camera fusion
As an emerging technology and a relatively affordable device, the 4D imaging radar has
already been confirmed effective in performing 3D object detection in autonomous driving …
already been confirmed effective in performing 3D object detection in autonomous driving …
GRC-net: Fusing GAT-based 4D radar and camera for 3D object detection
L Fan, C Zeng, Y Li, X Wang, D Cao - 2023 - sae.org
The fusion of multi-modal perception in autonomous driving plays a pivotal role in vehicle
behavior decision-making. However, much of the previous research has predominantly …
behavior decision-making. However, much of the previous research has predominantly …
Effective mmWave Radar Object Detection Pre-Training Based On Masked Image Modeling
L Zhuang, T Jiang, J Wang, Q An, K Xiao… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
With the advancement of environmental perception technology, millimeter-wave (mmWave)
radar is emerging as a predominant sensor. While deep learning has facilitated the …
radar is emerging as a predominant sensor. While deep learning has facilitated the …