Edge computing-enhanced autonomous vehicle navigation system with low latency communication for real-time decision-making and sensor data processing, has edge computing architecture for providing scalability and flexibility
	BANALA R; NARESH K; BOMMINENI N; GADDE V; KOMATI S; SRINIVAS S B; KRISHNA V
	2025-03-24
专利权人	BANALA R (BANA-Individual) ; NARESH K (NARE-Individual) ; BOMMINENI N (BOMM-Individual) ; GADDE V (GADD-Individual) ; KOMATI S (KOMA-Individual) ; SRINIVAS S B (SRIN-Individual) ; KRISHNA V (KRIS-Individual)
申请日期	2025-03-24
专利号	IN202541026777-A
成果简介	NOVELTY - The system has an edge computing architecture for providing scalability and flexibility, allowing the system to be easily deployed in various real-world environments with different traffic conditions and infrastructure. Sensors are processed and merged in a technique called data fusion to collect raw data. USE - Edge computing-enhanced autonomous vehicle navigation system (EC-AVNS) with low latency communication for real-time decision-making and sensor data processing use in real-time navigation in dynamic environments to optimize navigation of a vehicle. ADVANTAGE - The system realizes integration of edge computing to reduce latency, enables real-time data processing and faster decision-making for autonomous vehicles in dynamic driving environments. The system realizes low-latency communication through vehicle-to-vehicle (V2V) connectivity to enhance safety and coordination of autonomous vehicles by allowing them to share critical information such as traffic conditions and potential hazards. The system improves obstacle detection and avoids accuracy by combining sensor fusion and edge computing, thus ensuring timely identification and mitigation of obstacles in real-time. The system enables seamless navigation of complex driving environments, such as intersections and dense traffic, by processing data at the edge and ensuring quick, adaptive responses, and reduces dependency on cloud resources by performing crucial computations at the edge, to improve vehicle performance even in areas with limited or no connectivity. The system provides scalability and flexibility, allows a system to be easily deployed in real-world environments with different traffic conditions and infrastructure, optimizes energy efficiency by minimizing requirements for constant cloud communication, which reduces the overall energy consumption of the vehicle computational system. The system demonstrates robust performance under varying environmental conditions, ensuring reliable operation of autonomous vehicles, even in challenging driving situations. DESCRIPTION OF DRAWING(S) - The drawing shows a flow diagram illustrating operation of an edge computing-enhanced autonomous vehicle navigation system with low latency communication.
IPC 分类号	B60W-060/00 ; G05D-001/00 ; G06V-020/58 ; H04L-009/40 ; H04W-004/44
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13549
专题	中国科学院新疆生态与地理研究所
作者单位	1.BANALA R (BANA-Individual) 2.NARESH K (NARE-Individual) 3.BOMMINENI N (BOMM-Individual) 4.GADDE V (GADD-Individual) 5.KOMATI S (KOMA-Individual) 6.SRINIVAS S B (SRIN-Individual) 7.KRISHNA V (KRIS-Individual)
推荐引用方式 GB/T 7714	BANALA R,NARESH K,BOMMINENI N,et al. Edge computing-enhanced autonomous vehicle navigation system with low latency communication for real-time decision-making and sensor data processing, has edge computing architecture for providing scalability and flexibility. IN202541026777-A[P]. 2025.

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