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点“绿”成金让生态“颜值”变为文旅“价值” 夏日经济迸发新活力
Yang Shi Wang· 2025-08-18 03:44
Group 1: Ecological and Tourism Development - Qingxi Village in Fujian has transformed from an area with poor ecological conditions to a thriving tourist destination through the integration of agriculture, culture, and tourism projects [1][3] - The village has developed various tourism activities, including a rafting project, attracting a peak of over 500,000 visitors this year and generating tourism revenue exceeding 1.5 million yuan [5] Group 2: Environmental Monitoring and Protection - In Yunnan, the population of Asian elephants has stabilized at over 300 due to conservation efforts, with advanced technology being utilized for real-time monitoring of their activities and habitats [10][18] - A comprehensive monitoring and early warning system has been established, which has issued over 13,000 alerts since its trial run in 2020, effectively reducing human-elephant conflict incidents [18]
清华大学最新综述!当下智能驾驶中多传感器融合如何发展?
自动驾驶之心· 2025-06-26 12:56
Group 1: Importance of Embodied AI and Multi-Sensor Fusion Perception - Embodied AI is a crucial direction in AI development, enabling autonomous decision-making and action through real-time perception in dynamic environments, with applications in autonomous driving and robotics [2][3] - Multi-sensor fusion perception (MSFP) is essential for robust perception and accurate decision-making in embodied AI, integrating data from various sensors like cameras, LiDAR, and radar to achieve comprehensive environmental awareness [2][3] Group 2: Limitations of Current Research - Existing AI-based MSFP methods have shown success in fields like autonomous driving but face inherent challenges in embodied AI, such as the heterogeneity of cross-modal data and temporal asynchrony between different sensors [3][4] - Current reviews on MSFP often focus on single tasks or research areas, limiting their applicability to researchers in related fields [4] Group 3: Overview of MSFP Research - The paper discusses the background of MSFP, including various perception tasks, sensor data types, popular datasets, and evaluation standards [5] - It reviews multi-modal fusion methods at different levels, including point-level, voxel-level, region-level, and multi-level fusion [5] Group 4: Sensor Data and Datasets - Various sensor data types are critical for perception tasks, including camera data, LiDAR data, and radar data, each with unique advantages and limitations [7][10] - The paper presents several datasets used in MSFP research, such as KITTI, nuScenes, and Waymo Open, detailing their characteristics and the types of data they provide [12][13][14] Group 5: Perception Tasks - Key perception tasks include object detection, semantic segmentation, depth estimation, and occupancy prediction, each contributing to the overall understanding of the environment [16][17] Group 6: Multi-Modal Fusion Methods - Multi-modal fusion methods are categorized into point-level, voxel-level, region-level, and multi-level fusion, each with specific techniques to enhance perception robustness [20][21][22][27] Group 7: Multi-Agent Fusion Methods - Collaborative perception techniques integrate data from multiple agents and infrastructure, addressing challenges like occlusion and sensor failures in complex environments [32][34] Group 8: Time Series Fusion - Time series fusion is a key component of MSFP systems, enhancing perception continuity across time and space, with methods categorized into dense, sparse, and hybrid queries [40][41] Group 9: Multi-Modal Large Language Model (MM-LLM) Fusion - MM-LLM fusion combines visual and textual data for complex tasks, with various methods designed to enhance the integration of perception, reasoning, and planning capabilities [53][54][57][59]
野生大熊猫有多少?种群如何分布?科研团队实地探秘
Yang Shi Wang· 2025-06-21 18:35
Core Insights - The article discusses the ongoing wildlife investigation in the Giant Panda National Park, focusing on the use of advanced technology to study the population and distribution of wild giant pandas and other species in the region [1][3]. Group 1: Research Methods - The investigation employs air and water environmental DNA sampling techniques to collect genetic information from the environment, providing a more accurate analysis of species and population distribution [3]. - The study combines traditional methods, such as the bite mark method, with modern techniques like fecal DNA targeting to enhance the accuracy of estimating wild panda populations and their distribution [5]. - A comprehensive monitoring system has been established, integrating aerial, terrestrial, and satellite technologies to improve the effectiveness and timeliness of wildlife monitoring [6]. Group 2: Geographic and Ecological Context - The Bai Shui Jiang area of the Giant Panda National Park spans 180,000 hectares and serves as a crucial ecological corridor connecting the provinces of Shaanxi and Sichuan [8]. - The park is actively engaged in joint patrols among the three provinces to protect the ecological environment of wild giant pandas and other rare animals [8].
红外相机里有什么?荒漠猫、兔狲……含“野”量不要太高
Core Insights - The Gahai Wetland, located in Gansu Province, is part of the Gahai Zhecha National Nature Reserve, which plays a crucial role in wildlife monitoring and conservation efforts [1] - The protection station has deployed nearly 80 infrared cameras to monitor the activities of wildlife such as snow leopards and blue sheep [1][20] - The monitoring process involves retrieving and analyzing video footage from these cameras biannually, providing accurate data for wildlife conservation [1][6] Group 1 - The elevation of the protection station is 3,300 meters, with monitoring points set between 3,700 and 4,200 meters, where rare animals are often found [2][4] - The team successfully retrieved memory cards from 17 infrared cameras in one day, which will be processed and sent to the management center [6] - Staff members have dedicated nearly 10 years to their roles at the Gahai protection station, often facing challenging conditions [7] Group 2 - The infrared camera footage has captured various wildlife species, including the snow leopard, which is a first-class protected animal, and the blue sheep, which is a second-class protected animal [10][13][20] - The Gahai Zhecha National Nature Reserve has seen a gradual increase in biodiversity, with 354 species of wildlife recorded, including 19 first-class and 66 second-class protected species [20] - The area is becoming a harmonious habitat for wildlife due to enhanced conservation efforts [20]
鼎湖山自然保护区:守护中华穿山甲 绘制全球生物地图
Zhong Guo Xin Wen Wang· 2025-05-08 09:59
Core Viewpoint - The article highlights the stable population of the critically endangered Chinese pangolin in the Dinghu Mountain National Nature Reserve, managed by the South China Botanical Garden, showcasing the reserve's unique biodiversity and conservation efforts [1][5]. Group 1: Conservation Efforts - The Dinghu Mountain National Nature Reserve, covering an area of 11.33 square kilometers, preserves nearly 400-year-old South Asian tropical monsoon evergreen broadleaf forests and seven other forest vegetation types [3]. - The reserve has been actively involved in biodiversity monitoring since 2016, with evidence of the Chinese pangolin's presence captured through infrared cameras since 2018 [5]. - Advanced technologies such as drones for forest patrols and artificial intelligence for fire detection are utilized for monitoring and research purposes [5]. Group 2: Global Contributions - The South China Botanical Garden is engaged in global biodiversity mapping and has contributed to the Global Plant Protection Strategy (2023-2030), sharing China's experience in plant conservation at international forums [6]. - Dinghu Mountain has established itself as a "laboratory for observation" for global ecologists, collaborating with over 20 countries on long-term research projects since 1988 [6]. - The reserve's "forest ecosystem carbon sink model" has been included in the United Nations climate change assessment reports, providing reference for developing countries in addressing climate crises [7]. Group 3: Biodiversity Significance - The Dinghu Mountain serves as a "gene pool" with 202 species named after it, and 44 species directly named "Dinghu," emphasizing its ecological importance [3]. - The presence of the Chinese pangolin, known as a "forest guardian," plays a crucial role in controlling ant populations, highlighting its ecological significance [5].