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I disagree with the analogy to speech recognition. What makes speech recognition difficult is that it's highly dependent on context (sounds the same, but means

by vamin 9y ago

I disagree with the analogy to speech recognition. What makes speech recognition difficult is that it's highly dependent on context (sounds the same, but means something different depending on surrounding words, what the conversation is about, or even who you're speaking with). With driving, you should be able to make a good decision with just the instantaneous state, given enough information about that state (objects, velocities, etc). You can argue about what constitutes "enough information," but it seems plausible to me that given enough sensors we could meet or exceed the amount of information taken in by a pair of human eyes on a swivel.

garrybelka 9y ago
By context you mean a timeline of events while speech recognition is actually dependent on that timeline. Same applies to situational state recognition in driving. E.g., to derive speed, acceleration and direction of objects.
- PeterisP 9y ago
  No, in this context (pun intended) of speech recognition, the context means external context, i.e., understanding lots of information about the topic of that speech, knowing what would the speaker might plausibly be trying to say, what real world entities might be involved, and how are they called/spelled - all kinds of information that is not included in the original audio data, things that the listener would know based on life experience.
rayiner 9y ago
Im skeptical you can do real autonomous driving without context. In DC, we have roads that flow one direction part of the day and another direction the other part. We've got roads that will be shut down unpredictably when there is a diplomatic event. We've got constant construction, where a two lane road might be reduced to one lane with a human holding a sign or using hand signals to usher cars through on their turns. How does a self-driving car handle that without understanding context?
- euyyn 9y ago
  But you, as a human, don't need to know what happened before, to be able and drive through those conditions. You just need the immediately-available information, which is what OP defined as "no need for context" vs speech recognition.
  - zzzzzzzza 9y ago
    yes but even humans are much better drivers on roads they are familiar with.
  - qyv 9y ago
    How does a self driving car differentiate between a police officer flagging you down and a carjacker? Humans can make this judgement because we have a context for each of those situations based on our understanding of how the world works outside of just operating a vehicle safely.
    - taneq 9y ago
      To be fair, humans can't do this either, or there wouldn't be such a thing as carjackers. One of the biggest challenges that automated systems face is that the acceptable failure rate for them is far below the acceptable failure rate for humans in the same role. To err is human...
- enugu 9y ago
  It would not be too costly to augment roads with electronic signalling devices which give information to the software in cars. This information can do what signboards or traffic signals do for humans. The difficult part - when there is an error in these signals, or things shut down, autonomous cars will suffer much bigger problems than human driven cars. Its these edge cases that are the problem. We already rely on such mechanisms for planes(information comes from both gorund control and on-flight radar). But a lot of care and resources are is required to get to $n 9's level of reliability.
  - ChrisLTD 9y ago

by vamin 9y ago

garrybelka 9y ago

By context you mean a timeline of events while speech recognition is actually dependent on that timeline. Same applies to situational state recognition in driving. E.g., to derive speed, acceleration and direction of objects.

PeterisP 9y ago
No, in this context (pun intended) of speech recognition, the context means external context, i.e., understanding lots of information about the topic of that speech, knowing what would the speaker might plausibly be trying to say, what real world entities might be involved, and how are they called/spelled - all kinds of information that is not included in the original audio data, things that the listener would know based on life experience.

rayiner 9y ago

Im skeptical you can do real autonomous driving without context. In DC, we have roads that flow one direction part of the day and another direction the other part. We've got roads that will be shut down unpredictably when there is a diplomatic event. We've got constant construction, where a two lane road might be reduced to one lane with a human holding a sign or using hand signals to usher cars through on their turns. How does a self-driving car handle that without understanding context?

euyyn 9y ago
But you, as a human, don't need to know what happened before, to be able and drive through those conditions. You just need the immediately-available information, which is what OP defined as "no need for context" vs speech recognition.
- zzzzzzzza 9y ago
  yes but even humans are much better drivers on roads they are familiar with.
- qyv 9y ago
  How does a self driving car differentiate between a police officer flagging you down and a carjacker? Humans can make this judgement because we have a context for each of those situations based on our understanding of how the world works outside of just operating a vehicle safely.
  - taneq 9y ago
    To be fair, humans can't do this either, or there wouldn't be such a thing as carjackers. One of the biggest challenges that automated systems face is that the acceptable failure rate for them is far below the acceptable failure rate for humans in the same role. To err is human...
enugu 9y ago
It would not be too costly to augment roads with electronic signalling devices which give information to the software in cars. This information can do what signboards or traffic signals do for humans. The difficult part - when there is an error in these signals, or things shut down, autonomous cars will suffer much bigger problems than human driven cars. Its these edge cases that are the problem. We already rely on such mechanisms for planes(information comes from both gorund control and on-flight radar). But a lot of care and resources are is required to get to $n 9's level of reliability.
- ChrisLTD 9y ago