封面新闻记者 戴竺芯 00:20 目前，崇州片区已布设自组网红外相机94台，初步织就覆盖重点栖息地的监测网络，累计留存大熊猫、 羚牛、林麝、黑熊等20余种珍稀野生动植物的影像资料。 为摸清重点物种分布掌握活动规律、追踪栖息地动态变化提供了扎实的数据支撑与科学依据。 下一步，崇州片区将聚焦大熊猫栖息地整体保护与系统修复，目标深化与科研单位的协作，优化红外相 机网络布局，强化监测数据的分析研判与成果转化，不断提升野生大熊猫及其栖息地的动态监测与精细 化管理水平，为大熊猫国家公园的高质量建设与高水平保护保驾护航。 1月8日，在大熊猫国家公园崇州片区桃子坪区域，海拔约2800米的位置，红外相机定格下了一对大熊猫 母子出行的暖心画面。视频中，大熊猫妈妈走在前方，一步三回头，领着熊猫宝宝在雪地中前行，萌化 万千网友的心。 珍贵的视频背后，是大熊猫守护者们不断工作的成果。近年来，在大熊猫国家公园成都管理分局的统筹 指导下，崇州管护总站携手成都大熊猫繁育研究基地，稳步推进"空天地"一体化监测平台建设，持续提 升野生大熊猫及其伴生物种的综合监测能力。 ...

看到视频的宋大昭难掩激动。"阜平监测到华北豹，意味着华北豹离北京又近了一步。" 阜平县林业局局长杨建伟告诉北青报记者，近期红外相机拍摄到的画面，是近十年来太行山脉河北段记录到的最北位置的华北豹个体，其活动地点距 北京市直线距离仅约160公里，具有重要的区域生态指示价值。 全身覆着独特黑色斑纹的华北豹，悄然现身河北阜平群山间，此地距北京仅160公里。只见它矫健地攀至高处，环视四周，随即敏捷转身，没入幽深 密林。这一幕被红外相机清晰捕捉，令长期致力于"迎豹回家"的公益组织猫盟创始人宋大昭难抑激动——这意味着，在北京消失30年的华北豹，回家之路 又近了一步。 华北豹是生物多样性保护的重要指示物种，对维持生态平衡发挥着巨大作用。北京青年报记者了解到，2024年起，猫盟、清华大学与河北省各级林业 部门组建了联合团队，在阜平县开展大量的监测工作，终于在今年确认有野生华北豹在此栖息，为"迎豹回家"计划找到了关键跳板。 野生华北豹的稳定栖息，离不开适宜的生存环境。目前，京冀晋多地力量正在共同努力，打造有利于华北豹及其他野生动物生存繁衍的森林环境。推 动森林不但要绿起来，更要"活"起来，已成为各方共识。 华北豹"惊现"河北阜平 ...

新华社音视频部制作 作者：王贤思 赶四 邰玉贞 钟双红 近日，云南省勐腊县自然保护区管护局在苏腊大山片区回收红外相机时，拍摄到国家一级保护野生动物 北豚尾猴的野外活动影像。该物种主要分布于我国云南南部及东南亚地区，为昼行性、杂食性群居灵长 类动物，栖息于热带常绿或半常绿阔叶林。受栖息地破碎化及历史人为干扰影响，其野外种群稀少，已 被列入中国《国家重点保护野生动物名录》一级。此外，红外相机还捕捉到鼷鹿、灰孔雀雉等国家一级 保护野生动物及其他多种珍稀野生动物活动画面。 ...

Core Viewpoint - The article highlights the ongoing efforts in wildlife monitoring and conservation within the Giant Panda National Park, emphasizing the challenges and experiences faced by the patrol teams in the remote mountainous areas of Gansu province [4][10][28]. Group 1: Wildlife Monitoring and Conservation Efforts - The Gansu management bureau of the Giant Panda National Park was officially established on October 18, marking a significant step in wildlife conservation efforts [4]. - The patrol teams, including local forest rangers, conduct extensive monitoring activities, such as checking wildlife activity and replacing infrared camera batteries, covering distances of around 40 kilometers [3][4]. - The patrol area, particularly the Danba River protection station, is known for its high density of wild pandas and other wildlife, with a total area of 44,000 hectares and varying altitudes from 850 to 4,072 meters [8][10]. Group 2: Challenges Faced by Patrol Teams - Patrol teams encounter various dangers, including aggressive wildlife, harsh natural conditions, and potential encounters with poachers [21][24][26]. - The article describes a specific incident where a team member was severely injured by a snake bite, highlighting the risks involved in wildlife monitoring [23]. - The patrols often require carrying heavy supplies, and team members must adapt to the rugged terrain, sometimes drinking from streams due to the lack of water [24][21]. Group 3: Technological Advancements in Monitoring - The integration of technology, such as drones and infrared cameras, has significantly improved monitoring capabilities, allowing for better tracking of wildlife without direct human interference [15][17]. - The infrared cameras installed in the core protection area serve as vital tools for documenting wildlife activity, with 300 units currently in use [15][17]. - Despite technological advancements, the article emphasizes that human observation remains irreplaceable in understanding wildlife behavior and ecosystem dynamics [20][18]. Group 4: Emotional and Community Connections - The article illustrates the deep emotional connections that patrol members have with their work and the local environment, often passed down through generations [27][28]. - The collaborative efforts among various stakeholders, including local communities, forest police, and conservation agencies, create a supportive ecosystem for wildlife protection [28][29]. - The resilience of nature is highlighted, with local residents expressing a strong bond with the mountains and wildlife, reinforcing the importance of conservation efforts [29][30].

Group 1 - The management center staff is actively monitoring the silver fir community and black leaf monkeys in the Jinfo Mountain National Nature Reserve [1][5] - Remote video monitoring equipment is being checked and installed to observe the behavior of black leaf monkeys [2][3] - Staff are conducting plant breeding experiments in the laboratory to support conservation efforts [4] Group 2 - Artificially bred silver fir seedlings are being watered and cared for in the rare plant garden [6] - Monitoring systems are being tested and adjusted in the silver fir community monitoring sample area [7]

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]

Core Viewpoint - The article highlights the significant contributions of Guo Rui and his team in the conservation and research of biodiversity in the Qingtian Peak National Nature Reserve, particularly focusing on the South China sika deer and the Anji salamander, showcasing successful habitat restoration and species reintroduction efforts [3][4][5]. Group 1: Conservation Efforts - Guo Rui has led innovative habitat restoration projects for the South China sika deer, resulting in a population increase to over 300 individuals [3][4]. - The reserve has successfully reintroduced over 80 sika deer into the wild, with 22 wearing unique tracking collars that provide real-time location data [4][5]. - The team has developed a method to artificially intervene in the breeding of the critically endangered Anji salamander, increasing the number of egg capsules by 35% [6][7]. Group 2: Research and Monitoring - The Qingtian Peak Nature Reserve employs a comprehensive wildlife monitoring system, including infrared cameras and sound monitoring devices, to track various species and their behaviors [8]. - The team has discovered and published over 20 new insect species, demonstrating the extensive biodiversity present in the region [9]. - Guo Rui's research has led to significant findings regarding the genetic diversity and breeding patterns of the sika deer through fecal sample analysis [4][5]. Group 3: Community Engagement and Future Goals - There has been a notable increase in public awareness and engagement in wildlife protection, with numerous reports of injured animals being rescued [10]. - Guo Rui aims to promote biodiversity conservation stories from Hangzhou on a global stage, particularly during the upcoming World Biosphere Reserve Conference in 2025 [10].

Core Insights - The article highlights the successful implementation of biodiversity observation in Jiangsu Baohua Mountain National Forest Park, utilizing 24 infrared cameras to monitor wildlife and document ecological health [1][2][3] Group 1: Biodiversity Observation - The biodiversity observation project began in 2024, with infrared cameras deployed across various habitats, including forests and valleys, to capture wildlife activity [2][3] - Notable sightings include the national second-class protected animal, the muntjac, and the rare weasel, indicating a thriving ecosystem [2][3] - The presence of common species like wild boars and South China rabbits suggests a stable forest ecosystem with ample food resources [3] Group 2: Technological Integration - The project represents a shift from traditional wildlife tracking methods to a technology-driven approach, enhancing observation efficiency and reducing human interference [3][4] - The integration of infrared cameras and traditional survey methods has created a comprehensive observation network, improving data collection on biodiversity [3][4] Group 3: Future Plans - The Jiangsu Environmental Science Institute plans to expand the biodiversity observation network across the province, optimizing the layout of observation points and incorporating advanced monitoring technologies [5] - The initiative aims to protect and preserve biodiversity, emphasizing the importance of safeguarding natural habitats for the sustainability of wildlife [5]

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]

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].