full transcript

From the Ted Talk by Jennifer Healey: If cars could talk, accidents might be avoidable

Unscramble the Blue Letters


We're now adding more and more robots into the mix, and we enruneeotcd some pbeomlrs. One of the problems, when you get too much chatter, it's hard to preocss all the packets, so you have to prioritize, and that's where the predictive model helps you. If your robot cars are all tracking the predicted trcietoreajs, you don't pay as much attention to those packets. You prioritize the one guy who seems to be going a little off course. That guy could be a problem. And you can pdircet the new trajectory. So you don't only know that he's going off course, you know how. And you know which drivers you need to alert to get out of the way.

Open Cloze


We're now adding more and more robots into the mix, and we ___________ some ________. One of the problems, when you get too much chatter, it's hard to _______ all the packets, so you have to prioritize, and that's where the predictive model helps you. If your robot cars are all tracking the predicted ____________, you don't pay as much attention to those packets. You prioritize the one guy who seems to be going a little off course. That guy could be a problem. And you can _______ the new trajectory. So you don't only know that he's going off course, you know how. And you know which drivers you need to alert to get out of the way.

Solution


  1. encountered
  2. problems
  3. trajectories
  4. process
  5. predict

Original Text


We're now adding more and more robots into the mix, and we encountered some problems. One of the problems, when you get too much chatter, it's hard to process all the packets, so you have to prioritize, and that's where the predictive model helps you. If your robot cars are all tracking the predicted trajectories, you don't pay as much attention to those packets. You prioritize the one guy who seems to be going a little off course. That guy could be a problem. And you can predict the new trajectory. So you don't only know that he's going off course, you know how. And you know which drivers you need to alert to get out of the way.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
dead stop 2
reasonable predictions 2
precise idea 2


Important Words


  1. adding
  2. alert
  3. attention
  4. cars
  5. chatter
  6. drivers
  7. encountered
  8. guy
  9. hard
  10. helps
  11. mix
  12. model
  13. packets
  14. pay
  15. predict
  16. predicted
  17. predictive
  18. prioritize
  19. problem
  20. problems
  21. process
  22. robot
  23. robots
  24. tracking
  25. trajectories
  26. trajectory