2026· Proceedings of the 3rd International Conference on Mechanics, Electronics Engineering and Automation, ICMEEA 2026, April 24-26, 2026, Singapore, Singapore· 0 citations
TL;DR
The research concludes that Multisensor fusion is capable of bringing out the benefits and information of many sensors and coming up with the most optimal result.
Abstract
. The technology of multi-sensor fusion has had a significant influence on the sphere of self-driving vehicles. This paper commences by giving the roles of different sensors; the two most common sensors are radar and camera. It then goes on to tell about sensor calibration methods, and lastly gives information about the use of sensor fusion technology. The research concludes that Multisensor fusion is capable of bringing out the benefits and information of many sensors and coming up with the most optimal result. The sensor fusion allows vehicle brands to mature their autonomous driving technologies. It also contributes greatly to the accuracy of the perception and the environmental modeling of the cars, as well as showing significant improvements in cost reduction and scalability. Nevertheless, it has issues with this technology, especially sensor heterogeneity and alignment of spatiotemporal data, which have been a big problem.
. The recent years have seen work done on algorithms and frameworks of multi-sensor cooperative perception. This is an emphasis meant to improve the environmental perception of the autonomous vehicles. The heterogeneity of the multimodal data can be viewed as one of the major challenges during the multi-sensor fusion p...
Fei-Yang Lin· Proceedings of the 3rd Inter...· 0 citations
This study shows that when multi-sensor fusion strategies are rationally designed, the constraints of a single sensor used to sample the environment can be addressed, and this strategy plays an important role in increasing the resilience of the system as well as its ability to understand its surrounding.
Zhi-Xiang Xu· MATEC Web of Conferences· 0 citations
This paper will introduce the current situation of research at home and abroad on technical progress and provide theoretical support for the engineering optimisation and application of automotive LiDAR perception technology.
A conceptual framework is proposed that interprets sensor fusion as a reconstructive process, transforming diverse sensory inputs into a coherent environmental model, and connects fusion strategies to key autonomous driving tasks, including object detection, tracking, localisation, and planning.
. This paper analyzes the sources of dynamic errors and the coupling propagation mechanism from the perspectives of sensor systems and the environment, thus clarifying their important impacts on the fusion performance. It further clearly reviews two main methodological approaches, namely the explicit modeling based on...
Hou-Jiang He· Proceedings of the 3rd Inter...· 0 citations
. Against the backdrop of the rapid development of artificial intelligence and sensor technology, autonomous driving technology is gradually moving from the laboratory to reality. However, due to the complex and uncertain changes of the real environment (extreme weather, signal blockage, dynamic interference, etc.), it...
Xing-Rui Dong, Shao-Zu Han, Ming-Yang Zhang· Proceedings of the 3rd Inter...· 0 citations
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