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 …
Multiple object tracking in robotic applications: Trends and challenges
The recent advancement in autonomous robotics is directed toward designing a reliable
system that can detect and track multiple objects in the surrounding environment for …
system that can detect and track multiple objects in the surrounding environment for …
3dmotformer: Graph transformer for online 3d multi-object tracking
Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling
more reliable downstream tasks such as trajectory prediction and motion planning. Based …
more reliable downstream tasks such as trajectory prediction and motion planning. Based …
Monogae: Roadside monocular 3d object detection with ground-aware embeddings
Although the majority of recent autonomous driving systems concentrate on developing
perception methods based on ego-vehicle sensors, there is an overlooked alternative …
perception methods based on ego-vehicle sensors, there is an overlooked alternative …
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 …
Motiontrack: end-to-end transformer-based multi-object tracking with lidar-camera fusion
Abstract Multiple Object Tracking (MOT) is crucial to autonomous vehicle perception. End-to-
end transformer-based algorithms, which detect and track objects simultaneously, show …
end transformer-based algorithms, which detect and track objects simultaneously, show …
Poly-mot: A polyhedral framework for 3d multi-object tracking
X Li, T Xie, D Liu, J Gao, K Dai, Z Jiang… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
3D Multi-object tracking (MOT) empowers mobile robots to accomplish well-informed motion
planning and navigation tasks by providing motion trajectories of surrounding objects …
planning and navigation tasks by providing motion trajectories of surrounding objects …
Dual radar: A multi-modal dataset with dual 4d radar for autononous driving
Radar has stronger adaptability in adverse scenarios for autonomous driving environmental
perception compared to widely adopted cameras and LiDARs. Compared with commonly …
perception compared to widely adopted cameras and LiDARs. Compared with commonly …
Shasta: Modeling shape and spatio-temporal affinities for 3d multi-object tracking
T Sadjadpour, J Li, R Ambrus… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Multi-object tracking (MOT) is a cornerstone capability of any robotic system. Tracking quality
is largely dependent on the quality of input detections. In many applications, such as …
is largely dependent on the quality of input detections. In many applications, such as …
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 …