毫米波雷达技术和产业白皮书2019

中国联通最新发布《5G+远程智能驾驶白皮书》。交通运输是国民经济的基础性、先导性、战略性产业和重要服务性行业。以 5G 和 C-V2X 为代表的车联网技术正逐渗透到交通运输行业中，促进行业变革和产业升级，实现智慧交通，满足人们对于安全出行、高效出行以及绿色出行的美好愿望。目前基于车联网的技术标准规范已基本制定完成，产业链条初步完善，各地也涌现出一批车联网测试和示范基地，并开始探索车联网的运营和商业模式。 中国联通深度布局基于 5G+C-V2X 的智慧交通产业发展，聚焦“智慧道路+智能驾驶+智能管控”的车路协同一体化交通体系，通过技术创新、产品研发、业务推广以及产业合作，打造面向智能交通的车联网落地应用。在此背景下，中国联通制定“5G+智慧交通”系列白皮书，此白皮书为中国联通针对 5G+远程智能驾驶的技术规范，期望能对车联网产业发展提供参考。 随着人工智能、大数据等技术的飞速发展，车联网日益兴起，庞大的市场推动着车联网相关产品的研发和落地，同时引导汽车行业向着更安全、舒适、绿色的方向发展。 远程智能驾驶是车联网重要方向之一，具有广阔的应用场景。在复杂环境驾驶员远程代替无人驾驶车做出决策，可以提高无人驾驶的安全性和可靠性，实现复杂路况下的行驶通过引入人为决策，减少了交通事故和人员伤亡在灾区、高危路段的远程驾驶，可以提高营救效率和通行效率；在矿山、油田等生产区域，远程智能驾驶代替工人完成作业，减少人员伤亡甚至在无人驾驶车辆出现问题时，驾驶员及时接管，可以消除车辆异常，改变车辆失控状态，避免车辆伤害到行人和其它车辆。

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感谢深圳新丰收教育科技有限公司分享由中国电子技术标准化研究院撰写的《人工智能标准化白皮书2018版》，内容真实完整。 目录 1 前言 ....................................................................1 1.1 研究背景 ............................................................1 1.2 研究目标及意义 ......................................................2 2 人工智能概述 ............................................................3 2.1 人工智能的历史及概念 ................................................3 2.1.1 人工智能的起源与历史 .............................................3 2.1.2 人工智能的概念 ...................................................5 2.2 人工智能的特征 ......................................................7 2.3 人工智能参考框架 ....................................................8 3 人工智能发展现状及趋势 .................................................11 3.1 人工智能关键技术 ...................................................11 3.1.1 机器学习 ........................................................11 3.1.2 知识图谱 ........................................................13 3.1.3 自然语言处理 ....................................................14 3.1.4 人机交互 ........................................................15 3.1.5 计算机视觉 ......................................................17 3.1.6 生物特征识别 ....................................................19 3.1.7 虚拟现实/增强现实 ...............................................21 3.1.8 人工智能技术发展趋势 ............................................21 3.2 人工智能产业现状及趋势 .............................................22 3.2.1 智能基础设施 ....................................................23 3.2.2 智能信息及数据 ..................................................24 3.2.3 智能技术服务 ....................................................25 3.2.4 智能产品 ........................................................25 3.2.5 人工智能行业应用 ................................................27 3.2.6 人工智能产业发展趋势 ............................................31 3.3 安全、伦理、隐私问题 ...............................................32 3.3.1 人工智能的安全问题 ..............................................32 3.3.2 人工智能的伦理问题 ..............................................33 3.3.3 人工智能的隐私问题 ..............................................34 3.4 人工智能标准化的重要作用 ...........................................35 4 人工智能标准化现状 .....................................................37 4.1 国际标准化现状 .....................................................37 4.1.1 ISO/IEC JTC 1 ..................................................37 4.1.2 ISO ............................................................40 4.1.3 IEC ............................................................40 4.1.4 ITU ............................................................41 4.2 国外标准化现状 .....................................................41 4.2.1 IEEE ...........................................................41 4.2.2 NIST ...........................................................41 4.2.3 其它 ...........................................................42 4.3 国内标准化现状 .....................................................42 4.3.1 全国信息技术标准化技术委员会 ....................................42 4.3.2 全国自动化系统与集成标准化技术委员会 ............................43 4.3.3 全国音频、视频和多媒体标准化技术委员会 ..........................43 4.3.4 全国信息安全标准化技术委员会 ....................................43 4.3.5 全国智能运输系统标准化技术委员会 ................................44 4.4 人工智能标准化面临的问题和挑战 .....................................44 4.5 人工智能标准需求分析 ...............................................45 4.6 人工智能标准化组织机制建设 .........................................46 5 人工智能标准体系 .......................................................48 5.1 人工智能标准体系结构 ...............................................48 5.2 标准体系框架 .......................................................49 5.2.1 基础标准 ........................................................51 5.2.2 平台/支撑标准 ...................................................51 5.2.3 关键技术标准 ....................................................51 5.2.4 产品及服务标准 ..................................................53 5.2.5 应用标准 ........................................................54 5.2.6 安全/伦理标准 ...................................................56 5.3 近期急需制定标准 ...................................................56 6 人工智能标准化工作重点建议 .............................................59 附件 1 人工智能标准明细表 ................................................61 附件 2 应用案例 ..........................................................71

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智能时代，AI 中台是企业管理能力、企业活力、企业“智力”提升的重要动力来源。思考企业的未来，AI 中台将是企业在复杂时代下生存和发展的“必需品”和“必修课”。

新一代视频压缩编码技术！今年刚认证的H.265编码标准，前几天一直找不到白皮书，今天发上来，估计不少人也在找吧。下面是目录： CONTENTS Page Abstract i 0 Introduction 1 0.1 General 1 0.2 Prologue 1 0.3 Purpose 1 0.4 Applications 1 0.5 Publication and versions of this Specification 1 0.6 Profiles, tiers and levels 2 0.7 Overview of the design characteristics 2 0.8 How to read this Specification 2 1 Scope 3 2 Normative references 3 2.1 General 3 2.2 Identical Recommendations | International Standards 3 2.3 Paired Recommendations | International Standards equivalent in technical content 3 2.4 Additional references 3 3 Definitions 3 4 Abbreviations 12 5 Conventions 13 5.1 General 13 5.2 Arithmetic operators 13 5.3 Logical operators 13 5.4 Relational operators 14 5.5 Bit-wise operators 14 5.6 Assignment operators 14 5.7 Range notation 14 5.8 Mathematical functions 15 5.9 Order of operation precedence 15 5.10 Variables, syntax elements, and tables 16 5.11 Text description of logical operations 17 5.12 Processes 18 6 Bitstream and picture formats, partitionings, scanning processes, and neighbouring relationships 18 6.1 Bitstream formats 18 6.2 Source, decoded, and output picture formats 18 6.3 Partitioning of pictures, slices, slice segments, tiles, coding tree units, and coding tree blocks 21 6.3.1 Partitioning of pictures into slices, slice segments, and tiles 21 6.3.2 Block and quadtree structures 22 6.3.3 Spatial or component-wise partionings 23 6.4 Availability processes 23 6.4.1 Derivation process for z-scan order block availability 23 6.4.2 Derivation process for prediction block availability 24 6.5 Scanning processes 25 6.5.1 Coding tree block raster and tile scanning conversion process 25 6.5.2 Z-scan order array initialization process 26 6.5.3 Up-right diagonal scan order array initialization process 26 6.5.4 Horizontal scan order array initialization process 27 6.5.5 Vertical scan order array initialization process 27 7 Syntax and semantics 28 7.1 Method of specifying syntax in tabular form 28 7.2 Specification of syntax functions and descriptors 29 7.3 Syntax in tabular form 30 7.3.1 NAL unit syntax 30 7.3.1.1 General NAL unit syntax 30 7.3.1.2 NAL unit header syntax 30 7.3.2 Raw byte sequence payloads, trailing bits, and byte alignment syntax 31 7.3.2.1 Video parameter set RBSP syntax 31 7.3.2.2 Sequence parameter set RBSP syntax 32 7.3.2.3 Picture parameter set RBSP syntax 34 7.3.2.4 Supplemental enhancement information RBSP syntax 35 7.3.2.5 Access unit delimiter RBSP syntax 35 7.3.2.6 End of sequence RBSP syntax 35 7.3.2.7 End of bitstream RBSP syntax 35 7.3.2.8 Filler data RBSP syntax 36 7.3.2.9 Slice segment layer RBSP syntax 36 7.3.2.10 RBSP slice segment trailing bits syntax 36 7.3.2.11 RBSP trailing bits syntax 36 7.3.2.12 Byte alignment syntax 36 7.3.3 Profile, tier and level syntax 37 7.3.4 Scaling list data syntax 38 7.3.5 Supplemental enhancement information message syntax 38 7.3.6 Slice segment header syntax 39 7.3.6.1 General slice segment header syntax 39 7.3.6.2 Reference picture list modification syntax 41 7.3.6.3 Weighted prediction parameters syntax 42 7.3.7 Short-term reference picture set syntax 43 7.3.8 Slice segment data syntax 43 7.3.8.1 General slice segment data syntax 43 7.3.8.2 Coding tree unit syntax 44 7.3.8.3 Sample adaptive offset syntax 45 7.3.8.4 Coding quadtree syntax 46 7.3.8.5 Coding unit syntax 47 7.3.8.6 Prediction unit syntax 49 7.3.8.7 PCM sample syntax 49 7.3.8.8 Transform tree syntax 50 7.3.8.9 Motion vector difference syntax 50 7.3.8.10 Transform unit syntax 51 7.3.8.11 Residual coding syntax 52 7.4 Semantics 54 7.4.1 General 54 7.4.2 NAL unit semantics 54 7.4.2.1 General NAL unit semantics 54 7.4.2.2 NAL unit header semantics 55 7.4.2.3 Encapsulation of an SODB within an RBSP (informative) 58 7.4.2.4 Order of NAL units and association to coded pictures, access units, and coded video sequences 59 7.4.3 Raw byte sequence payloads, trailing bits, and byte alignment semantics 62 7.4.3.1 Video parameter set RBSP semantics 62 7.4.3.2 Sequence parameter set RBSP semantics 64 7.4.3.3 Picture parameter set RBSP semantics 69 7.4.3.4 Supplemental enhancement information RBSP semantics 72 7.4.3.5 Access unit delimiter RBSP semantics 72 7.4.3.6 End of sequence RBSP semantics 72 7.4.3.7 End of bitstream RBSP semantics 72 7.4.3.8 Filler data RBSP semantics 73 7.4.3.9 Slice segment layer RBSP semantics 73 7.4.3.10 RBSP slice segment trailing bits semantics 73 7.4.3.11 RBSP trailing bits semantics 73 7.4.3.12 Byte alignment semantics 73 7.4.4 Profile, tier and level semantics 73 7.4.5 Scaling list data semantics 75 7.4.6 Supplemental enhancement information message semantics 76 7.4.7 Slice segment header semantics 77 7.4.7.1 General slice segment header semantics 77 7.4.7.2 Reference picture list modification semantics 81 7.4.7.3 Weighted prediction parameters semantics 82 7.4.8 Short-term reference picture set semantics 83 7.4.9 Slice segment data semantics 85 7.4.9.1 General slice segment data semantics 85 7.4.9.2 Coding tree unit semantics 85 7.4.9.3 Sample adaptive offset semantics 85 7.4.9.4 Coding quadtree semantics 87 7.4.9.5 Coding unit semantics 87 7.4.9.6 Prediction unit semantics 89 7.4.9.7 PCM sample semantics 90 7.4.9.8 Transform tree semantics 90 7.4.9.9 Motion vector difference semantics 91 7.4.9.10 Transform unit semantics 91 7.4.9.11 Residual coding semantics 92 8 Decoding process 94 8.1 General decoding process 94 8.2 NAL unit decoding process 95 8.3 Slice decoding process 96 8.3.1 Decoding process for picture order count 96 8.3.2 Decoding process for reference picture set 96 8.3.3 Decoding process for generating unavailable reference pictures 100 8.3.3.1 General decoding process for generating unavailable reference pictures 100 8.3.3.2 Generation of one unavailable picture 101 8.3.4 Decoding process for reference picture lists construction 101 8.4 Decoding process for coding units coded in intra prediction mode 102 8.4.1 General decoding process for coding units coded in intra prediction mode 102 8.4.2 Derivation process for luma intra prediction mode 103 8.4.3 Derivation process for chroma intra prediction mode 105 8.4.4 Decoding process for intra blocks 105 8.4.4.1 General decoding process for intra blocks 105 8.4.4.2 Intra sample prediction 106 8.5 Decoding process for coding units coded in inter prediction mode 112 8.5.1 General decoding process for coding units coded in inter prediction mode 112 8.5.2 Inter prediction process 112 8.5.3 Decoding process for prediction units in inter prediction mode 115 8.5.3.1 General 115 8.5.3.2 Derivation process for motion vector components and reference indices 115 8.5.3.3 Decoding process for inter prediction samples 130 8.5.4 Decoding process for the residual signal of coding units coded in inter prediction mode 138 8.5.4.1 General 138 8.5.4.2 Decoding process for luma residual blocks 139 8.5.4.3 Decoding process for chroma residual blocks 140 8.6 Scaling, transformation and array construction process prior to deblocking filter process 141 8.6.1 Derivation process for quantization parameters 141 8.6.2 Scaling and transformation process 142 8.6.3 Scaling process for transform coefficients 143 8.6.4 Transformation process for scaled transform coefficients 144 8.6.4.1 General 144 8.6.4.2 Transformation process 144 8.6.5 Picture construction process prior to in-loop filter process 146 8.7 In-loop filter process 146 8.7.1 General 146 8.7.2 Deblocking filter process 147 8.7.2.1 General 147 8.7.2.2 Derivation process of transform block boundary 148 8.7.2.3 Derivation process of prediction block boundary 149 8.7.2.4 Derivation process of boundary filtering strength 150 8.7.2.5 Edge filtering process 151 8.7.3 Sample adaptive offset process 159 8.7.3.1 General 159 8.7.3.2 Coding tree block modification process 159 9 Parsing process 161 9.1 General 161 9.2 Parsing process for 0-th order Exp-Golomb codes 161 9.2.1 General 161 9.2.2 Mapping process for signed Exp-Golomb codes 163 9.3 CABAC parsing process for slice segment data 163 9.3.1 General 163 9.3.2 Initialization process 165 9.3.2.1 General 165 9.3.2.2 Initialization process for context variables 166 9.3.2.3 Storage process for context variables 174 9.3.2.4 Synchronization process for context variables 174 9.3.2.5 Initialization process for the arithmetic decoding engine 174 9.3.3 Binarization process 175 9.3.3.1 General 175 9.3.3.2 Truncated Rice (TR) binarization process 176 9.3.3.3 k-th order Exp-Golomb (EGk) binarization process 177 9.3.3.4 Fixed-length (FL) binarization process 178 9.3.3.5 Binarization process for part_mode 178 9.3.3.6 Binarization process for intra_chroma_pred_mode 178 9.3.3.7 Binarization process for inter_pred_idc 179 9.3.3.8 Binarization process for cu_qp_delta_abs 179 9.3.3.9 Binarization process for coeff_abs_level_remaining 179 9.3.4 Decoding process flow 180 9.3.4.1 General 180 9.3.4.2 Derivation process for ctxTable, ctxIdx and bypassFlag 180 9.3.4.3 Arithmetic decoding process 186 9.3.5 Arithmetic encoding process (informative) 192 9.3.5.1 General 192 9.3.5.2 Initialization process for the arithmetic encoding engine (informative) 192 9.3.5.3 Encoding process for a binary decision (informative) 193 9.3.5.4 Renormalization process in the arithmetic encoding engine (informative) 194 9.3.5.5 Bypass encoding process for binary decisions (informative) 195 9.3.5.6 Encoding process for a binary decision before termination (informative) 196 9.3.5.7 Byte stuffing process (informative) 197 10 Sub-bitstream extraction process 198 Annex A Profiles, tiers and levels 199 A.1 Overview of profiles, tiers and levels 199 A.2 Requirements on video decoder capability 199 A.3 Profiles 199 A.3.1 General 199 A.3.2 Main profile 199 A.3.3 Main 10 profile 200 A.3.4 Main Still Picture profile 200 A.4 Tiers and levels 201 A.4.1 General tier and level limits 201 A.4.2 Profile-specific level limits for the Main and Main 10 profiles 202 A.4.3 Effect of level limits on picture rate for the Main and Main 10 profiles (informative) 204 Annex B Byte stream format 208 B.1 General 208 B.2 Byte stream NAL unit syntax and semantics 208 B.2.1 Byte stream NAL unit syntax 208 B.2.2 Byte stream NAL unit semantics 208 B.3 Byte stream NAL unit decoding process 209 B.4 Decoder byte-alignment recovery (informative) 209 Annex C Hypothetical reference decoder 210 C.1 General 210 C.2 Operation of coded picture buffer (CPB) 214 C.2.1 General 214 C.2.2 Timing of decoding unit arrival 214 C.2.3 Timing of decoding unit removal and decoding of decoding unit 216 C.3 Operation of the decoded picture buffer (DPB) 218 C.3.1 General 218 C.3.2 Removal of pictures from the DPB 218 C.3.3 Picture output 219 C.3.4 Current decoded picture marking and storage 220 C.4 Bitstream conformance 220 C.5 Decoder conformance 221 C.5.1 General 221 C.5.2 Operation of the output order DPB 222 C.5.2.1 General 222 C.5.2.2 Output and removal of pictures from the DPB 222 C.5.2.3 Picture decoding, marking, additional bumping, and storage 223 C.5.2.4 "Bumping" process 223 Annex D Supplemental enhancement information 225 D.1 General 225 D.2 SEI payload syntax 226 D.2.1 General SEI message syntax 226 D.2.2 Buffering period SEI message syntax 228 D.2.3 Picture timing SEI message syntax 229 D.2.4 Pan-scan rectangle SEI message syntax 229 D.2.5 Filler payload SEI message syntax 230 D.2.6 User data registered by Rec. ITU-T T.35 SEI message syntax 230 D.2.7 User data unregistered SEI message syntax 230 D.2.8 Recovery point SEI message syntax 230 D.2.9 Scene information SEI message syntax 231 D.2.10 Picture snapshot SEI message syntax 231 D.2.11 Progressive refinement segment start SEI message syntax 231 D.2.12 Progressive refinement segment end SEI message syntax 231 D.2.13 Film grain characteristics SEI message syntax 232 D.2.14 Post-filter hint SEI message syntax 232 D.2.15 Tone mapping information SEI message syntax 233 D.2.16 Frame packing arrangement SEI message syntax 234 D.2.17 Display orientation SEI message syntax 234 D.2.18 Structure of pictures information SEI message syntax 235 D.2.19 Decoded picture hash SEI message syntax 235 D.2.20 Active parameter sets SEI message syntax 235 D.2.21 Decoding unit information SEI message syntax 236 D.2.22 Temporal sub-layer zero index SEI message syntax 236 D.2.23 Scalable nesting SEI message syntax 236 D.2.24 Region refresh information SEI message syntax 237 D.2.25 Reserved SEI message syntax 237 D.3 SEI payload semantics 237 D.3.1 General SEI payload semantics 237 D.3.2 Buffering period SEI message semantics 240 D.3.3 Picture timing SEI message semantics 242 D.3.4 Pan-scan rectangle SEI message semantics 247 D.3.5 Filler payload SEI message semantics 248 D.3.6 User data registered by Rec. ITU-T T.35 SEI message semantics 248 D.3.7 User data unregistered SEI message semantics 248 D.3.8 Recovery point SEI message semantics 248 D.3.9 Scene information SEI message semantics 249 D.3.10 Picture snapshot SEI message semantics 252 D.3.11 Progressive refinement segment start SEI message semantics 252 D.3.12 Progressive refinement segment end SEI message semantics 253 D.3.13 Film grain characteristics SEI message semantics 253 D.3.14 Post-filter hint SEI message semantics 258 D.3.15 Tone mapping information SEI message semantics 259 D.3.16 Frame packing arrangement SEI message semantics 263 D.3.17 Display orientation SEI message semantics 270 D.3.18 Structure of pictures information SEI message semantics 271 D.3.19 Decoded picture hash SEI message semantics 272 D.3.20 Active parameter sets SEI message semantics 273 D.3.21 Decoding unit information SEI message semantics 273 D.3.22 Temporal sub-layer zero index SEI message semantics 275 D.3.23 Scalable nesting SEI message semantics 275 D.3.24 Region refresh information SEI message semantics 276 D.3.25 Reserved SEI message semantics 277 Annex E Video usability information 278 E.1 General 278 E.1 VUI syntax 279 E.1.1 VUI parameters syntax 279 E.1.2 HRD parameters syntax 281 E.1.3 Sub-layer HRD parameters syntax 282 E.2 VUI semantics 282 E.2.1 VUI parameters semantics 282 E.2.2 HRD parameters semantics 294 E.2.3 Sub-layer HRD parameters semantics 296 Bibliography 298