22 papers · ranked by Valyu relevance
Yandong Liu, Linna Ji, Fengbao Yang, Xiaoming Guo + 1 more
Addressing the limitation of existing infrared and visible video fusion models, which fail to dynamically adjust fusion strategies based on video differences, often resulting in suboptimal or failed outcomes, we propose an infrared and visible video fusion algorithm that leverages the autonomous and flexible…
Zhao, Yueran, Zhang Zhang, Chao Sun + 3 more
Vehicle-to-Everything (V2X) collaborative perception extends sensing beyond single vehicle limits through transmission. However, as more agents participate, existing frameworks face two key challenges: (1) the participating agents are inherently multi-modal and heterogeneous, and (2) the collaborative framework must be…
Melih Yazgan, Thomas Graf, Min Liu, J. Marius Zoellner
Categorized by Real World Challenges Authors: ['Melih Yazgan' 'Thomas Graf' 'Min Liu' 'J. Marius Zoellner'] Abstract—This survey analyzes intermediate fusion methods in collaborative perception for autonomous driving, categorized by real-world challenges. We examine various methods, detailing their features and the…
Shunli Ren, Siheng Chen, Wenjun Zhang
Perception is one of the crucial module of the autonomous driving system, which has made great progress recently. However, limited ability of individual vehicles results in the bottleneck of improvement of the perception performance. To break through the limits of individual perception, collaborative perception has…
Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar
—In the domain of intelligent transportation systems (ITS), collaborative perception has emerged as a promising approach to overcome the limitations of individual perception by enabling multiple agents to exchange information, thus enhancing their situational awareness. Collaborative perception overcomes the…
Manzoor Hussain, Nazakat Ali, Jang-Eui Hong, Roberto Sabatini + 1 more
'Alessandro Gardi'] Cyber-physical systems (CPSs) that interact with each other to achieve common goals are known as collaborative CPSs. Collaborative CPSs can achieve complex goals that individual CPSs cannot achieve on their own. One of the examples of collaborative CPSs is the vehicular cyber-physical systems…
Yushan Han, Hui Zhang, Huifang Li, Yi Jin + 2 more
—Collaborative perception is essential to address occlusion and sensor failure issues in autonomous driving. In recent years, theoretical and experimental investigations of novel works for collaborative perception have increased tremendously. So far, however, few reviews have focused on systematical collaboration…
Zi Zhuo Wang, Xiaoyu Xia, Qiaonan Chen
This research proposes a novel multi-level data fusion method for analyzing collaborative dynamics in team sports using wearable sensor networks. We developed and validated this approach through controlled experiments with 40 semi-professional athletes across basketball and soccer scenarios. The multi-level fusion…
Yu Xia, Xiao Wu, Tao Ma, Liucun Zhu + 3 more
'Udo Frese'] Simultaneous Localization and Mapping (SLAM) enables mobile robots to autonomously perform localization and mapping tasks in unknown environments. Despite significant progress achieved by visual SLAM systems in ideal conditions, relying solely on a single robot and point features for mapping in large-scale…
Apoorv Singh, Gaurav Raut, Alka Choudhary
Review Authors: ['Apoorv Singh' 'Gaurav Raut' 'Alka Choudhary'] Collaborative perception in multi-robot fleets is a way to incorporate the power of unity in robotic fleets. Collaborative perception refers to the collective ability of multiple entities or agents to share and integrate their sensory information for a…
Xiyu Song, Ying Zeng, Li Tong, Jun Shu + 4 more
'Minghua Sun' 'Bin Yan'] The superiority of collaborative brain-computer interface (cBCI) in performance enhancement makes it an effective way to break through the performance bottleneck of the BCI-based dynamic visual target detection. However, the existing cBCIs focus on multi-mind information fusion with a static…
Sheng Chen, Junjie Xie, Renlong Ye, David Daqiang Xu + 1 more
Dual-target drug design has gained significant attention in the treatment of complex diseases, such as cancers and autoimmune disorders. A widely employed design strategy is combining pharmacophores to incorporate the knowledge of structure-activity relationships of both targets. Unfortunately, it often struggles with…
Sooraj Sunil, Saeed Mozaffari, Rajmeet Singh, Behnam Shahrrava + 2 more
'Shahpour Alirezaee' 'Felipe Jiménez'] One of the most frequently used approaches to represent collaborative mapping are probabilistic occupancy grid maps. These maps can be exchanged and integrated among robots to reduce the overall exploration time, which is the main advantage of the collaborative systems. Such map…
Yun-Tao Liu, Qian Huang, Rongpeng Li, Xianfu Chen + 4 more
'Shuyuan Zhao' 'Yongdong Zhu' 'Honggang Zhang'] Abstract—Collaborative perception by leveraging the shared semantic information plays a crucial role in overcoming the individual limitations of isolated agents. However, existing collaborative perception methods tend to focus solely on the spatial features of semantic…
Lucia Innocenti, Sebastien Ourselin, Vicky Goh, Michela Antonelli + 1 more
Federated learning (FL) has gained wide popularity as a collaborative learning paradigm enabling trustworthy AI in sensitive healthcare applications. Never-theless, the practical implementation of FL presents technical and organizational challenges, as it generally requires complex communication infrastructures. In…
Cathleen M. E. Broersma, Daniel Rozen
Larger body size often enhances survival and reproduction. While most organisms grow to achieve larger sizes, some can rapidly increase size through fusion. Fusion decisions are influenced by genetic relatedness and environmental factors, balancing potential benefits and costs. In Physarum polycephalum, a…
Authors not listed
Identifying molecular structure based on spectroscopic readings is a key task in a va- riety of chemical and biological applications. Common spectroscopy techniques, such as Infrared (IR) Spectroscopy and Mass Spectrometry (MS), provide detailed information on the structure of molecular compounds but nonetheless…
Ary Lautaro Di Bartolo, Claudia Nora Tomes, Luis Segundo Mayorga, Diego Masone
The fusion pore controls the release of exocytotic vesicles contents through a precise orchestration of lipids from the fusing membranes and proteins. There is a major lipid reorganization during the different stages in life of the fusion pore: membrane fusion, nucleation and expansion, that can be scrutinized…
Till Richter, Eric Zimmermann, James Hall, Fabian J. Theis + 4 more
The vision of a “virtual cell”—a computational model that simulates biological function across modalities and scales—has become a defining goal in computational biology. While powerful unimodal foundation models exist, the lack of large-scale paired data prohibits the joint training of multimodal approaches. This…
Kazushi Tsutsui, Ryoya Tanaka, Kazuya Takeda, Keisuke Fujii
Collaborative hunting, in which predators play different and complementary roles to capture prey, has been traditionally believed as an advanced hunting strategy requiring large brains that involve high level cognition. However, recent findings that collaborative hunting have also been documented in smaller-brained…
Authors not listed
The increasing importance and predictive power of modern molecular modeling, driven by physics- and machine learning-based methods, necessitates a new collaborative architecture to replace the isolated, traditional model of software development. The traditional approach often led to redundant engineering effort, high…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…