Driver Adaptive Warning Systems

Each year, many preventable highway automobile accidents involving single vehicles are caused by inattention and distraction. These accidents are classified as single vehicle road departures. Lane departure and curve negotiation warning systems are an emerging technology to help prevent these types of accidents. The author plans to build a road departure warning system that learns individual driver behavior, and uses this knowledge to reduce false alarms and increase warning time. Current warning systems are physics based -- they look at vehicle trajectory, but mainly ignore driver ability and characteristics. The author proposes to develop an adaptive lane departure and curve negotiation warning system. This system should learn individual traits of the driver -- both stationary and changing, and use this information to improve warning time and reduce false alarms. A number of research issues are involved in this work, as it has to improve upon the state of the art, yet not become so complicated to use that the average driver would feel uncomfortable using it. This proposal will discuss these issues and describe preliminary results in using a connectionist approach to predict the driver’s steering response given vehicle state information. This approach can successfully detect lane changes, which are treated as surrogate road departures.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Photos; References; Tables;
  • Pagination: 46p

Subject/Index Terms

Filing Info

  • Accession Number: 01523315
  • Record Type: Publication
  • Report/Paper Numbers: CMU-RI-TR-98-07
  • Contract Numbers: DTNH22-93-C-07023; N00014-95-1-0591; DTFH61-94-X-0
  • Files: TRIS, ATRI, USDOT
  • Created Date: Apr 21 2014 11:40AM