--- title: Cameras, radar and lidar, a spinning laser that times how long its l… — Self-driving cars and machines that run themselves · tree and pragmatics description: Cameras, radar and lidar, a spinning laser that times how long its light takes to bounce back, build a moving 3D picture of the street, and a computer decides many times a second whether to steer, brake or speed up. Who acts: spinning laser, light, computer, laser. A sentence of the lesson «Self-dri --- [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/1/) [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/) / 1 # Self-driving cars and machines that run themselves, sentence 1 Cameras, radar and lidar, a spinning laser that times how long its light takes to bounce back, build a moving 3D picture of the street, and a computer decides many times a second whether to steer, brake or speed up. **Who acts:** spinning laser, light, computer, laser · **What happens:** spin, time, take, bounce back, build, move · **To what, where:** moving 3D picture · **Speech:** someone speaks here 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 (spinning laser, light, computer, laser), 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:1 # text = Cameras, radar and lidar, a spinning laser that times how long its light takes to bounce back, build a moving 3D picture of the street, and a computer decides many times a second whether to steer, brake or speed up. # 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): R2-punct-next ×1, R7-rel-agree ×1, R8-pos-agree ×1 1 Cameras camera NOUN NNS Number=Plur 0 root _ _ 2 , , PUNCT , _ 3 punct _ _ 3 radar radar NOUN NN Number=Sing 1 conj _ Agree=R7-rel-agree|Haiku=1:appos 4 and and CCONJ CC _ 5 cc _ _ 5 lidar lidar NOUN NN Number=Sing 3 conj _ _ 6 , , PUNCT , _ 9 punct _ _ 7 a a DET DT Definite=Ind|PronType=Art 9 det _ _ 8 spinning spin VERB VBG VerbForm=Ger 9 amod _ _ 9 laser laser NOUN NN Number=Sing 1 conj _ _ 10 that that PRON WDT PronType=Rel 11 nsubj _ _ 11 times time VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 9 acl:relcl _ _ 12 how how ADV WRB PronType=Int 13 advmod _ _ 13 long long ADV RB Degree=Pos 16 advmod _ _ 14 its its PRON PRP$ Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs 15 nmod:poss _ _ 15 light light NOUN NN Number=Sing 16 nsubj _ _ 16 takes take VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 11 ccomp _ _ 17 to to PART TO _ 18 mark _ _ 18 bounce bounce VERB VB VerbForm=Inf 16 advcl _ _ 19 back back ADV RB _ 18 advmod _ _ 20 , , PUNCT , _ 13 punct _ _ 21 build build VERB VB VerbForm=Inf 11 conj _ _ 22 a a DET DT Definite=Ind|PronType=Art 25 det _ _ 23 moving move VERB VBG VerbForm=Ger 25 amod _ _ 24 3D 3d ADJ JJ Degree=Pos|NumForm=Combi 25 amod _ _ 25 picture picture NOUN NN Number=Sing 21 obj _ _ 26 of of ADP IN _ 28 case _ _ 27 the the DET DT Definite=Def|PronType=Art 28 det _ _ 28 street street NOUN NN Number=Sing 25 nmod _ _ 29 , , PUNCT , _ 33 punct _ _ 30 and and CCONJ CC _ 33 cc _ _ 31 a a DET DT Definite=Ind|PronType=Art 32 det _ _ 32 computer computer NOUN NN Number=Sing 33 nsubj _ _ 33 decides decide VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 21 conj _ _ 34 many many ADJ JJ Degree=Pos 35 amod _ _ 35 times time NOUN NNS Number=Plur 33 obl:unmarked _ _ 36 a a DET DT Definite=Ind|PronType=Art 37 det _ _ 37 second second NOUN NN Number=Sing 35 nmod:unmarked _ _ 38 whether whether SCONJ IN _ 40 mark _ _ 39 to to PART TO _ 40 mark _ _ 40 steer steer VERB VB VerbForm=Inf 33 ccomp _ _ 41 , , PUNCT , _ 42 punct _ Agree=R2-punct-next|Haiku=40:punct 42 brake brake VERB VB VerbForm=Inf 40 conj _ _ 43 or or CCONJ CC _ 44 cc _ _ 44 speed speed VERB VB VerbForm=Inf 40 conj _ Agree=R8-pos-agree|Haiku=40:conj|HaikuPos=VERB:VBP:Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 45 up up ADP RP _ 44 compound:prt _ _ 46 . . PUNCT . _ 1 punct _ _ ``` ## Pragmatics {#pragmatics} - form: statement - act: assert - voice: narrator - polarity: none - teacher: kept the draft | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **spin** | gerund | | | | | | | vn roll-51.3.1 «NP.theme V»: agent=Theme | | 2 | **time** | present | a spinning laser | | | | | | tree rules | | 3 | **take** | present | laser's light | | | | | long *property* | vn bring-11.3 «NP V NP»: agent=Agent | | 4 | **bounce back** | to-infinitive | laser's light *not said here* | | | | | | vn run-51.3.2-2 «NP V»: agent=Theme | | 5 | **build** | infinitive | a spinning laser *not said here* | a moving 3D picture of the street | | | | | vn build-26.1-1 «NP.asset V NP»: agent=Asset picture=Product | | 6 | **move** | gerund | | | | | | | vn roll-51.3.1 «NP.theme V»: agent=Theme | | 7 | **decide** | present | a computer | | | | time | | vn correspond-36.1-1 «NP V what S\_INF»: agent=Agent clause=Topic | | 8 | **steer** *not said to happen* | to-infinitive | | | | | | | vn accompany-51.7 «NP V NP»: agent=Agent | | 9 | **brake** | infinitive | | | | | | | tree rules | | 10 | **speed up** | infinitive | | | | | | | vn run-51.3.2-2 «NP V»: agent=Theme | | 11 | **light** | | laser | | | | | | nom light «phenomenon transitive»: poss=agent | 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:1`. **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): R2-punct-next ×1, R7-rel-agree ×1, 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…, 0](https://md.mova.elamur.ai/free/en/corpora/school/technology/40-self-driving-cars-and-machines-that-run-themselves/0/) - next →: [Self-driving cars and machines that ru…, 2](https://md.mova.elamur.ai/free/en/corpora/school/technology/40-self-driving-cars-and-machines-that-run-themselves/2/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/technology/40-self-driving-cars-and-machines-that-run-themselves/)