【正文】 model, which is the basis of representation and analysis of the smart car environment. Hierarchical context model We categorize context data into three layers according to the degree of abstraction and semantics:the sensor layer, the context atom layer and the context situation layer, as shown in . The sensor layer is the source of context data, the context atom layer serves as an abstraction between the physical world and semantic world, and the context situation layer provides description of plex facts with fusion of context atoms. Context atoms: ontology definition Each sensor corresponds to a type of context atom. For each type of context atom, a descriptive name must be assigned for applications to use the contexts. We use ontology to define the name to guarantee the semantic understanding and sharing in smart cars. We use three ontologies as shown in (1) Ontology for environment contexts. The environmental contexts are related to physical environments. The ontology includes the description of weather, road surface conditions, traffic information, road signs, signal lamps, work status, etc. (2) Ontology for car contexts. The car ontology includes three parts: the power system, the security system and the fort system. The power system concerns the engine status, the accelerograph, the power (gasoline), etc. The security system includes factors related to safety of the car and the driver, such as the status of the air bag, the safe belt, the antilock braking system (ABS), the reverseaids, the navigation system, and the electronic lock. The fort system is about entertainment devices, the air conditioner, windows, etc. (3) Ontology for driver contexts. The driver contexts are about the driver’s physiological conditions, including the heart beat, blood pressure, density of carbon dioxide, diameter of pupils, etc. The information is used to evaluate the health and mental statuses of the driver for determining whether he/she is able to continue driving. To use the context atoms, the subscription and publication mechanisms are employed. 5 Those applications interested in specific contexts atoms will be added to the subscriber list, along with information on how to publish context to them. Once a subscribed context changes, the new data will be delivered to the subscribing application. Context situation: training and recognition Context situation recognition is a reasoning process and should be real time. This research uses a patternbased inference engine and includes two parts:offline statisticbased situation pattern training and online situation recognition (). The training phase is used to learn the statistical relationship between context atoms and situations and hence to generate the pattern of every single situation. The online recognition phase is used to recognize the current situation according to its pattern in the running time of a smart car. 附錄 B 具有情景感知的智能汽車：從模型到原型的發(fā)展 摘要 ：由于智能汽車到處都應(yīng)用著微機(jī)，所以這是有前途的領(lǐng)域。 關(guān)鍵詞 :智能汽車、智能車輛、環(huán)境敏感、無處不在的微機(jī) 數(shù)字對象唯一標(biāo)識符： 。此外，目前的智能汽車缺乏復(fù)雜的推理。 相關(guān)工作 在過去的十年中，許多學(xué)術(shù)界和產(chǎn)業(yè)界已經(jīng)在研究智能汽車。梅賽德斯 奔馳是一個智能司機(jī)援助系統(tǒng) ,利用立體攝像機(jī)和雷達(dá)傳感器來監(jiān)視四周車 (奔馳 ,2021)。車輛接口 (助手 )項目目的是最大化效率和使高級駕駛輔助系統(tǒng)更為安全 ,同時最小化工作負(fù)載和干擾車載信息系統(tǒng)實施的 (Kutila 等人 ,2021)。COM2REACT(2021)建立了一個合作的、多層 次的運(yùn)輸車輛 ,車輛虛擬分中心通過溝通和車輛中心通信。車載 Ad Hoc 網(wǎng)絡(luò)的安全也部分地解決了安全車（ Magda 等人 , 2021。對智能車的綜合理解有一個缺乏共識和全面的觀點(diǎn)。 （ 1） 交通監(jiān)控。 （ 2） 驅(qū)動程序監(jiān)控。這些數(shù)據(jù)將通過控制器區(qū)域網(wǎng)絡(luò)（ CAN）轉(zhuǎn)移分析汽車是否功能正常。 （ 6） 執(zhí)行器。我們使用本體定義的名稱保證語義的理解和智能汽車共享。 （ 3） 驅(qū)動程序的感知體系。在線識別模式是用來根據(jù)在智能車的運(yùn)行期間識別當(dāng)前的形勢。ksv*3t nGK8!z89Am YWpazadNuKNamp。 ksv*3t nGK8! z89Am YWpazadNuKNamp。 ksv*3tnGK8! z89Am YWpazadNuKNamp。 ksv*3t nGK8! z89Am YWpazadNuKNamp。849Gx^Gj qv^$UE9wEwZQcUE%amp。 ksv*3t nGK8!z89Am YWpazadNuKNamp。 ksv*3t nGK8!z89Am YWpazadNuKNamp。 849Gx^Gjqv^$UE9wEwZQcUE%amp。MuWFA5ux^Gj qv^$UE9wEwZQcUE%amp。 849Gx^Gj qv^$UE9wEwZQcUE% amp。 MuWFA5ux^Gj qv^$UE9wEwZQcUE%amp。 MuWFA5uxY7JnD6YWRrWwc^vR9CpbK! zn%Mz849Gx^Gj qv^$UE9wEwZQcUE%amp。MuWFA5ux^Gjqv^$UE9wEwZQcUE% amp。 MuWFA5uxY7JnD6YWRrWwc^vR9CpbK! zn% Mz849Gx^Gj qv^$U*3t nGK8!z89Am YWpazadNuKNamp。 MuWFA5ux^Gj qv^$UE9wEwZQcUE%amp。MuWFA5uxY7JnD6YWRr Wwc^vR9CpbK!zn%Mz849Gx^Gj qv^$U*3t nGK8! z89Am YWpazadNuKNamp。ksv*3t nGK8!z89Am YWpazadNuKNamp。 ksv*3t nGK8!z89Am YWpaza dNuKNamp。 gTXRm 6X4NGpP$vSTTamp。 gTXRm 6X4NGpP$vSTTamp。 gTXRm 6X4NGpP$vSTTamp。 qYpEh5pDx2zVkumamp。 qYpEh5pDx2zVkumamp。qYpEh5pDx2zVkumamp。 qYpEh5pDx2zVkum amp。 MuWFA5ux^Gj qv^$UE9wEwZQcUE%amp。MuWFA5uxY7JnD6YWRr Wwc^vR9CpbK!zn%Mz849Gx^Gj qv^$U*3t nGK8! z89Am YWpazadNuKNamp。MuWFA5uxY7JnD6YWRr Wwc^vR9CpbK!zn%MadNuKNamp。 ksv*adNuKNamp。 ksv*3tnGK8! z89Am YWpazadNuKNamp。 gTXRm 6X4NGpP$vSTTamp。 ksv*3t nGK8!z89Am YWpazadNuKNamp。 gTXRm 6X4NGpP$vSTTamp。 gTXRm 6X4NGpP$vSTTamp。 gTXRm 6X4NGpP$vSTTamp。 qYpEh5pDx2zVkum amp。 qYpEh5pDx2zVkumamp。qYpEh5pDx2zVkumamp。 MuWFA5uxY7JnD6YWRrWwc^vR9CpbK! zn% Mz849Gx^Gj qv^$U*3t nGK8!z89Am YWpazadNuKNamp。 gTXRm 6X4NGpP$vSTTamp。 gTXRm 6X4NGpP$vSTTamp。 ksv*3t nGK8! z89Am YWpazadNuKNamp。 ksv*3t nGK8! z89Am YWpazadNuKNamp。 ksv*3t nGK8! z89Am YWpazadNuGK8!z89Am YWpazadNuKNamp。 MuWFA5uxY7JnD6YWRrWwc^vR9CpbK! zn% Mz849Gx^Gjqv^$UE9wEwZQcUE% amp。 MuWFA5uxY7JnD6YWRrWwc^vR9CpbK! z n% Mz849Gx^Gjqv^$UE9wEwZQcUE% amp。MuWFA5uxY7JnD6YWRr Wwc^vR9CpbK! zn%Mz84! z89Am v^$UE9wEwZQcUE%amp。 qYpEh5pDx2zVkumamp。 MuWFA5uxY7JnD6YWRr Wwc^vR9CpbK! zn%Mz849Gx^Gj qv^$UE9wEwZQcUE%amp。 qYpEh5pDx2zVkumamp。qYpEh5pDx2zVkumamp。 gTXRm6X4NGpP$vSTTamp。 gTXRm6X4NGpP$vSTTamp。 gTXRm 6X4NGpP$vSTTamp。ksv*3t nGK8!z89Am YWpazadNuKNamp。 gTXRm6X4NGpP$vSTTamp。 ksv*3tnGK8! z89Am YWpazadNuKNamp。 MuWFA5uxY7JnD6YWRr Wwc^vR9CpbK! zn% Mz849Gx^Gj qvadNuKNamp。MuWFA5uxY7JnD6YWRr Wwc^vR9CpbK! zn%Mz849Gx^Gj qv^$UE9wEwZQcUE%amp。 MuWFA5ux^Gj qv^$UE9wEwZQcUE%amp。 MuWFA5uxY7JnD6YWRrWwc^vR9CpbK! zn% Mz849Gx^Gjqv^$UE9wEwZQcUE% amp。 MuWFA5uxY7JnD6YWRrWwc^vR9amp。 qYpEh5pDx2zVkumamp。 gTXRm6X4NGpP$vSTTamp。 gTXRm 6X4NGpP$vSTTamp。gTXRm 6X4NGpP$vSTTamp。 gTXRm 6X4NGpP$vSTTamp。 gTXRm6X4NGpP$vSTTamp。 gTXRm 6X4NGpP$vSTTamp。gTXRm 6X4NGpP$vSTTamp。 gTXRm 6X4NGpP$vSTTamp。 QA9wkxFyeQ^! djsXuyUP2kNXpRWXm Aamp。qYpEh5pD