Challenges to CV and AV Applications in Truck Freight Operations (2017) / Chapter Skim
Currently Skimming:
Pages 66-72
The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.
From page 66... ...
CRP Project HR 20-102(03) 66 C H A P T E R 4 Conclusions and Suggested Research This report has defined a landscape of current and future initiatives in CV and AV.
|
From page 67... ...
CRP Project HR 20-102(03) 67 Analyze the potential impact of truck platooning on pavement damage.
|
From page 68... ...
CRP Project HR 20-102(03) 68 technologies use video displays to allow the driver in the following truck to see what the driver in the lead truck see.
|
From page 69... ...
CRP Project HR 20-102(03) 69 Study the impact of quantum computers on future V2V, V2I and autonomous truck cybersecurity.
|
From page 70... ...
CRP Project HR 20-102(03) 70 identify the dimensions of the truck, it needs to create a maximum envelope that overestimates the size of the vehicle.
|
From page 71... ...
CRP Project HR 20-102(03) 71 – Particularly at mid-levels of automation, to what extent and how must the truck assess driver alertness as a necessary condition for activation of an automated condition?
|
From page 72... ...
CRP Project HR 20-102(03)
|
Key Terms
This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More
information on Chapter Skim is available.