--- title: A self-driving car uses cameras, radar and lidar to scan around it,… — Self-driving cars and machines that run themselves · tree and pragmatics description: A self-driving car uses cameras, radar and lidar to scan around it, and a computer decides how to steer, brake and speed up; robotaxis without a driver already carry passengers in some American and Chinese cities. Who acts: driving car, computer, robotaxis. A sentence of the lesson «Self-driving car --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/technology/40-self-driving-cars-and-machines-that-run-themselves/11/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [school](https://md.mova.elamur.ai/free/en/corpora/school/) / [Technology](https://md.mova.elamur.ai/free/en/corpora/school/technology/) / [Self-driving cars and machines that ru…](https://md.mova.elamur.ai/free/en/corpora/school/technology/40-self-driving-cars-and-machines-that-run-themselves/) / 11 # Self-driving cars and machines that run themselves, sentence 11 A self-driving car uses cameras, radar and lidar to scan around it, and a computer decides how to steer, brake and speed up; robotaxis without a driver already carry passengers in some American and Chinese cities. **Who acts:** driving car, computer, robotaxis · **What happens:** drive, use, scan, decide, steer, brake · **To what, where:** cameras, car, passengers, American cities This is a sentence of the lesson «Self-driving cars and machines that run themselves» of the technology course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (driving car, computer, robotaxis), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:technology:040-self-driving-cars-and-machines-that-run-themselves.lesson:11 # text = A self-driving car uses cameras, radar and lidar to scan around it, and a computer decides how to steer, brake and speed up; robotaxis without a driver already carry passengers in some American and Chinese cities. # source = school lesson (ours) # course = technology # lesson = 040-self-driving-cars-and-machines-that-run-themselves.lesson # annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R7-rel-agree ×2, R8-pos-agree ×1 1 A a DET DT Definite=Ind|PronType=Art 5 det _ _ 2 self self NOUN NN Number=Sing 4 compound _ _ 3 - - PUNCT HYPH _ 2 punct _ _ 4 driving drive VERB VBG VerbForm=Ger 5 amod _ _ 5 car car NOUN NN Number=Sing 6 nsubj _ _ 6 uses use VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 7 cameras camera NOUN NNS Number=Plur 6 obj _ _ 8 , , PUNCT , _ 9 punct _ _ 9 radar radar NOUN NN Number=Sing 7 conj _ Agree=R7-rel-agree|Haiku=7:appos 10 and and CCONJ CC _ 11 cc _ _ 11 lidar lidar NOUN NN Number=Sing 9 conj _ _ 12 to to PART TO _ 13 mark _ _ 13 scan scan VERB VB VerbForm=Inf 6 advcl _ Agree=R5-strong|Haiku=11:acl 14 around around ADP IN _ 15 case _ _ 15 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 13 obl _ _ 16 , , PUNCT , _ 20 punct _ _ 17 and and CCONJ CC _ 20 cc _ _ 18 a a DET DT Definite=Ind|PronType=Art 19 det _ _ 19 computer computer NOUN NN Number=Sing 20 nsubj _ _ 20 decides decide VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 6 conj _ _ 21 how how ADV WRB PronType=Int 23 advmod _ _ 22 to to PART TO _ 23 mark _ _ 23 steer steer VERB VB VerbForm=Inf 20 xcomp _ _ 24 , , PUNCT , _ 25 punct _ _ 25 brake brake VERB VB VerbForm=Inf 23 conj _ Agree=R7-rel-agree|Haiku=23:xcomp 26 and and CCONJ CC _ 27 cc _ _ 27 speed speed VERB VB VerbForm=Inf 25 conj _ _ 28 up up ADP RP _ 27 compound:prt _ _ 29 ; ; PUNCT , _ 30 punct _ _ 30 robotaxis robotaxis NOUN NNS Number=Plur 35 nsubj _ Agree=R8-pos-agree|Haiku=35:nsubj|HaikuPos=NOUN:NN:Number=Sing 31 without without ADP IN _ 33 case _ _ 32 a a DET DT Definite=Ind|PronType=Art 33 det _ _ 33 driver driver NOUN NN Number=Sing 30 nmod _ _ 34 already already ADV RB _ 35 advmod _ _ 35 carry carry VERB VBP Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 6 parataxis _ _ 36 passengers passenger NOUN NNS Number=Plur 35 obj _ _ 37 in in ADP IN _ 42 case _ _ 38 some some DET DT PronType=Ind 42 det _ _ 39 American American ADJ JJ Degree=Pos 42 amod _ _ 40 and and CCONJ CC _ 41 cc _ _ 41 Chinese Chinese ADJ JJ Degree=Pos 39 conj _ _ 42 cities city NOUN NNS Number=Plur 35 obl _ _ 43 . . PUNCT . _ 6 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **drive** | gerund | | | | | | | vn nonvehicle-51.4.2-1 «NP.agent V»: agent=Agent | | 2 | **use** | present | a driving car | cameras and radar and lidar | | | | | vn eat-39.1 «NP V NP»: agent=Agent camera=Patient | | 3 | **scan** | to-infinitive | a driving car *not said here* | | | car | | | vn assessment-34.1 «NP V NP»: agent=Agent | | 4 | **decide** | present | a computer | | | | | | vn correspond-36.1-1 «NP V what S\_INF»: agent=Agent clause=Topic | | 5 | **steer** *not said to happen* | to-infinitive | a computer *not said here* | | | | | | vn accompany-51.7 «NP V NP»: agent=Agent | | 6 | **brake** | infinitive | a computer *not said here* | | | | | | tree rules | | 7 | **speed up** | infinitive | a computer *not said here* | | | | | | vn run-51.3.2-2 «NP V»: agent=Theme | | 8 | **carry** | present | robotaxis without a driver | passengers | | some American cities | | | vn fit-54.3 «NP V NP PP.location»: agent=Agent passenger=Value in city=Location | One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree. **Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:technology:040-self-driving-cars-and-machines-that-run-themselves.lesson:11`. **The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R7-rel-agree ×2, R8-pos-agree ×1. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence. See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/). - ← previous: [Self-driving cars and machines that ru…, 10](https://md.mova.elamur.ai/free/en/corpora/school/technology/40-self-driving-cars-and-machines-that-run-themselves/10/) - next →: [Self-driving cars and machines that ru…, 12](https://md.mova.elamur.ai/free/en/corpora/school/technology/40-self-driving-cars-and-machines-that-run-themselves/12/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/technology/40-self-driving-cars-and-machines-that-run-themselves/)