{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title":"人工智能与大数据技术导论","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787302517986","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","uuid":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title":"人工智能与大数据技术导论","normalized_title":"人工智能与大数据技术导论","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787302517986","isbns":["9787302517986"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":490,"navigation_url":"https://workshop.closeclaw.top/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title_url":"https://workshop.closeclaw.top/ai/title/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E4%B8%8E%E5%A4%A7%E6%95%B0%E6%8D%AE%E6%8A%80%E6%9C%AF%E5%AF%BC%E8%AE%BA","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","page_url":"https://workshop.closeclaw.top/api/ai/books/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page","search_url":"https://workshop.closeclaw.top/api/ai/books/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/search"},"page":{"printed_page":50,"pdf_page":66,"physical_index":66,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"403485c9af46c12f398f07a5d9ed0e68b78ef594d0c81d174c5cd12fef7bcc54"},"chapter":"第2章","content":"人工智能广泛应用于医疗领域，有助于解决现阶段医疗资源不足的核心痛点。移动互联网时代，我国医疗行业现阶段的核心痛点从信息不透明转移到了优质医疗资源不足，同时伴随着医疗成本高、人才培养周期较长等问题，人工智能高效计算能力有效提高医疗行业的产能。人工智能广泛应用于医疗领域有助于带动基层医疗服务。“人工智能+医疗”有望成为一种可复制的医疗资源，增加基层医生的诊断精准度。\n\n2.3.6自动驾驶\n\n自动驾驶也可以称为无人驾驶，指依靠人工智能、视觉计算、雷达、监控装置和全球定位系统协同合作，让电脑可以在没有任何人类主动的操作下，自动安全地操作机动车辆。先进驾驶辅助系统（Advanced Driver Assistant System，ADAS)利用安装于车上的各式各样的传感器，在第一时间收集车内外的环境数据，从而能够让驾驶者以最快的时间察觉可能发生的危险。ADAS采用的传感器主要有摄像头、雷达、激光和超声波。ADAS与自动驾驶的区别在于：ADAS可以视为自动驾驶实现的一个路径，ADAS可以最终演化为自动驾驶。\n\n自动驾驶研究领域目前基本分为两大阵营：以传统汽车厂商和Mobileye合作的“递进式”应用型阵营；以谷歌、百度以及初创科技公司为主的“越级式”研究型阵营。表2-5显示了自动驾驶两个阵营之间的差别。\n\n人工智能与大数据技术导论\n\n50","previous_page":49,"next_page":51}