In: 2021 IEEE International Conference on Robotics and Automation (ICRA). Xi’an, China, pp. 13708–13715 (2021). https://doi.org/10.1109/ICRA48506.2021.9561110 Chu, P., et al., Transmot: spatial-temporal graph transformer for multiple object tracking. In: Proceedings of the IEEE/CVF ...
IEEE International Conference on Robotics and Automation (ICRA), 2024 projectarxiv Overview We propose a novel algorithm: Differentiable Multi-Sensor Kalman Filter for 3D Multi-Object Cooperative Tracking (DMSTrack). Our algorithm is designed to be capable of estimating observation noise covariance of ...
[36] X. Weng, Y. Wang, Y. Man, and K. M. Kitani. GNN3DMOT: Graph neural network for 3d multi-object tracking with 2d-3d multi-feature learning. InCVPR, 2020. [37] Y. Xu, A. Osep, Y. Ban, R. Horaud, L. Leal-Taixˇ e, and X. Alameda-´ Pineda. How to train your ...
sensor fusion; bird’s-eye-view; multi-object tracking; structure similarity; data association; Kalman filter; self-driving cars1. Introduction The realization of autonomous vehicles hinges on their ability to accurately perceive and track objects in their surroundings. From parking to driving on the...
multi-object tracking; satellite video; inter-feature mapping; feature aggregation1. Introduction Multi-object tracking (MOT) aims to detect and associate multiple objects of interest in a video sequence, generating corresponding trajectories across consecutive frames. Recently, advanced remote-sensing ...
ICRA 2024 In my latest ICRA 2024 paper:Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter, we propose a novel algorithm: DMSTrack for cooperative tracking in autonomous driving. Our algorithm improves the tracking accuracy by 17% with...
Multi-target multi-camera tracking is crucial to intelligent transportation systems. Numerous recent studies have been undertaken to address this issue. Ne
Finally, we use Lyapunov-based trajectory tracking controllers to follow the robot trajectories and complete object transportation [20], [21]. To the best of our knowledge, ours is the first work to investigate planning and coordination for object transportation using multiple formations of ...
Article Open access 11 September 2024 Introduction The distinction between virtual reality (VR) and physical reality is largely driven by differences in sensory input, with touch playing a pivotal role in this divide1,2,3. While VR technology has made significant strides in the visual and auditory...
OBJECT DETECTION OF CHILI USING CONVOLUTIONAL NEURAL NETWORK YOLOV7 2024, Journal of Theoretical and Applied Information Technology A Seamless Deep Learning Approach for Apple Detection, Depth Estimation, and Tracking Using YOLO Models Enhanced by Multi-Head Attention Mechanism 2024, Computers Unveiling th...