可以做到象軍事用途，高效能預警雷達掃描系統，該車應樹起一杆，按裝360度無死角監控鏡頭，覆蓋範圍達1KM左右…

無人行駛車在現在GPS、北斗等衛星精準定位下，是這幾年需要突破的關口，人工知能已初顯鋒芒，所有無人行駛車的作業系統在統一的網路上，相當於IP包頭所包含的源地址、目的地址等資訊，在路口上，路口站臺發出紅綠指令，各單車收到指令，透過各自的物理編碼，容錯執行，有條不紊的行駛在各條道路上！

人工智慧是第四次科技突破口，一輛汽車上，安裝一個智慧硬體，再刷入行業所需的智慧系統，連網後由各地區伺服器協調控制，每輛汽車又是獨立的個體，即能統一管理，又能單獨指揮，對於突發事故，又能迅速處理！

無人駕駛其實就是電子導行地圖原理，只不過車載智慧把接到的指令轉變為機械行為。

中國航天所運用的智慧系統80%服務於安全，我想，汽車的無人駕駛智慧系統也應該是這樣的。相對於無人駕駛汽車之間是不會發生碰撞的，因為衛星定位系統是不會把兩輛智慧車朝一起碰的。即使是這樣了，車載雷達也會拒絕行駛進安全底線。

相對於對周邊環境的識別，人工智慧要比人工敬業得多。因為它不會接電話，不會打磕睡，也不會跟人聊天，一直是全神貫注的。它會根據自己的車速設定與前面的車距，以便留出制動安全距離。它會嚴格遵守交通規則，不隨意變道，會彬彬有禮，禮讓三分地透過各種複雜交叉路口，也許，交警的罰單再也與你無緣了。

目前智慧車的研發側重於主動避障，對於被動攻擊行為好像還是薄弱環節。必盡，電腦只能瞬間計算出有效距離內的大貨車重心側翻的方向而發出指令逃離災區，但對於瞬間撞向停車的自己是無能為力的。所以，對於碰瓷的，智慧車也防不勝防。但有一點可以肯定，交警不會輕易判定智慧車有失誤嫌疑。

對於突發事件的處理，老司機的忠告是為自己預留出安全距離。要遠離大貨車，遠離老人三輪車，遠離孩子……我想，這同樣也適用智慧車。

因為人類的進步，才有現代的文明。對於那些擅自改動智慧車程式的不文明行為，要有嚴勵的法規加以制約。必盡，這是關呼到每個人的生命安全大事。

人是唯物的，但也是唯心的。

只有心裡有夢，才會初心不改。

今天的一切，都是前人的夢。

而今天的夢，

是送給未來的大禮！

遠離車禍的那一天不是遙不可及的夢！

因為人會給自己帶來不斷的驚喜！

概念

自動駕駛汽車，又稱為無人駕駛汽車、電腦駕駛汽車或輪式移動機器人，是自動化載具的一種，具有傳統汽車的運輸能力。作為自動化載具，自動駕駛汽車不需要人為操作即能感測其環境及導航。完全的自動駕駛汽車仍未全面商用化，大多數均為原型機及展示系統，部分可靠技術才下放至商用車型，但有關於自駕車逐漸成為現實，已經引起了很多有關於道德的討論。

條件

自動駕駛汽車能以雷達、光學雷達、GPS 及電腦視覺等技術感測其環境。先進的控制系統能將感測資料轉換成適當的導航道路，以及障礙與相關標誌。根據定義，自動駕駛汽車能透過感測輸入的資料，更新其地圖資訊，讓交通工具可以持續追蹤其位置，即使條件改變，或汽車駛進了未知的環境內。

起源

自動駕駛汽車的展示系統可追溯至1920年代及1930年代間，第一輛能真正自動駕駛的汽車則出現於1980年代。1984年，卡內基美隆大學推動Navlab計劃與ALV計劃；1987年，梅賽德斯-賓士與德國慕尼黑聯邦國防大學共同推行尤里卡普羅米修斯計劃。從此以後，許多大型公司與研究機構開始製造可運作的自動駕駛汽車原型。21世紀以後，伴隨著資訊科技的進步，更是突飛猛進，特斯拉汽車率先推出了特定環境下的自駕車，而汽車工業人士估計2030年以前就會量產出現。

等級

目前國內無人駕駛汽車，以百度為代表的眾多國內網際網路公司也在不斷推動者中國的無人駕駛技術，百度在此基礎上成立了Level 3、Level 4二個無人駕駛汽車團隊分別承擔不同的任務。

等級0：即無自動。駕駛隨時掌握著車輛的所有機械、物理功能，僅配備警報裝置等等無關主動駕駛的功能也算在內。等級1：駕駛人操作車輛，但個別的裝置有時能發揮作用，如電子穩定程式（ESP）或防鎖死剎車系統（ABS）可以幫助行車安全。等級2：駕駛人主要控制車輛，但系統階調地自動化，使之明顯減輕操作負擔，例如主動式巡航定速（ACC）結合自動跟車和車道偏離警示，而自動緊急煞停系統（AEB）透過盲點偵測和汽車防撞系統的部分技術結合。等級3：駕駛人需隨時準備控制車輛，自動駕駛輔助控制期間，如在跟車時雖然可以暫時免於操作，但當汽車偵測到需要駕駛人的情形時，會立即迴歸讓駕駛人接管其後續控制，駕駛必須接手因應系統無力處理的狀況。等級4：駕駛人可在條件允許下讓車輛完整自駕，啟動自動駕駛後，一般不必介入控制，此車可以按照設定之道路通則（如高速公路中，平順的車流與標準化的路標、明顯的提示線），自己執行包含轉彎、換車道與加速等工作，除了嚴苛氣候或道路模糊不清、意外，或是自動駕駛的路況已經結束等等，系統並提供駕駛人“足夠寬裕之轉換時間”，駕駛應監看車輛運作，但可包括有旁觀下的無人停車功能。（有方向盤自動車）等級5：駕駛人不必在車內，任何時刻都不會控制到車輛。此類車輛能自行啟動駕駛裝置，全程也不須開在設計好的路況，就可以執行所有與安全有關之重要功能，包括沒有人在車上時的情形，完全不需受駕駛意志所控，可以自行決策。（無需方向盤）國外報道（谷歌）Google launches Waymo, its self-driving car company

If there"s one thing all Americans can actually agree on, it"s that the presidential election was the biggest story of the year.

But in the background, self-driving cars started to gain steam. Automakers, tech companies and startups are all racing to develop autonomous technology. Even governments -- generally behind the curve on technology -- are getting involved.

The money, brainpower and time poured into autonomy will likely spur huge changes in how we live. There"s no consensus for when autonomous vehicles will go mainstream, but don"t be surprised if they"re the biggest story of the year before long.

Related: Is Uber"s push for self-driving cars a job killer?

2016 kicked off with GM (GM) spending $1 billion to acquire Cruise Automation, a startup developing self-driving technology. In August, Uber spent a reported $680 million on self-driving truck startup Otto, which was only eight months old.

This fall brought the second biggest tech acquisition in history -- Qualcomm"s $39 billion takeover of NXP Semiconductors. There was a familiar theme behind the news: Qualcomm(QCOM, Tech30) needed a path into making chips for autonomous vehicles.

We saw other examples of the excitement for chips that power self-driving cars. The stock price of NVIDIA (NVDA, Tech30), which makes critical hardware for autonomous vehicles, more than tripled during 2016. Industry giant Intel (INTC, Tech30) said in November it would invest $250 million in autonomous driving, including developing chips and software to power the cars.

The year saw a lot more than money being thrown around, and grand proclamations of an automated future happened nearly every week. Companies also begin to let average people ride in self-driving cars.

Uber will begin testing a self-driving Volvo in Pittsburgh this month.

This fall, Uber began letting customers in Pittsburgh and San Francisco hail a ride in a self-driving Volvo. NuTonomy, a Boston startup, started offering rides in Singapore. The cars operate with test drivers present, so that they can take over the vehicle if it malfunctions.

Related: Tesla"s unique strategy to win the self-driving car wars

Perhaps the boldest move of all came from Tesla. In October Tesla (TSLA) announced that all of its new vehicles now had the hardware to drive fully autonomously. All that"s left is developing the software.

The strategy lets Tesla collect data from its cars, which is then used to train the cars to drive themselves. No one else in the industry is close to offering such a car.

Related: Smart cars drive second biggest tech deal in history

It was a year in which storied automakers embraced radically different business models. In May, GM said it would test self-driving taxis with Lyft. And Ford said it would deploy its own self-driving cars in a ride-sharing service in 2021.

Google (GOOG), a company that"s long been at the forefront of autonomous cars, doubled the number of cities it"s testing in to four. In December, it spun off its self-driving car project as Waymo, an independent company under the umbrella of Alphabet, Google"s parent company. Its cars drove over a million miles autonomously in 2016.

Waymo revealed its Chrysler self-driving vans in December. They will be on the road in 2017.

One big question has been if government regulators will allow self-driving vehicles on roads. The U.S. federal government offered a warm welcome to autonomous cars in September, when it released guidelines for self-driving vehicles. The United Arab Emirates went farther, calling for 25% of residents to use self-driving vehicles by 2030.

It"s unclear if the Trump administration will continue to be so receptive to autonomous vehicles, which are expected to imperil many jobs of working class Americans.

In California, Uber clashed with the DMV over whether it needs permits to operate self-driving vehicles in the state. The DMV is expected to take legal action against Uber. Of course, Uber could operate without any trouble if it applied for the permits and shared safety data with the government.

Despite these hiccups, regulators are largely on board with self-driving technology. But a big question remains -- are Americans ready to actually ride in self-driving vehicles? An AAA survey this spring found that three in four Americans are scared to ride in a self-driving car.

Programs such as Uber"s, which let customers take a brief ride in a self-driving car, are a way to ease the public into the future. In the coming years, we"ll see just how many of us will actually give up our keys.