[특허]Vehicular collision avoidance system

Yazaki North America, Inc.

검색어에 아래의 연산자를 사용하시면 더 정확한 검색결과를 얻을 수 있습니다.
검색연산자

검색도움말
검색연산자	기능	검색시 예
()	우선순위가 가장 높은 연산자	예1) (나노 (기계 \| machine))
공백	두 개의 검색어(식)을 모두 포함하고 있는 문서 검색	예1) (나노 기계) 예2) 나노 장영실
\|	두 개의 검색어(식) 중 하나 이상 포함하고 있는 문서 검색	예1) (줄기세포 \| 면역) 예2) 줄기세포 \| 장영실
!	NOT 이후에 있는 검색어가 포함된 문서는 제외	예1) (황금 !백금) 예2) !image
*	검색어의 *란에 0개 이상의 임의의 문자가 포함된 문서 검색	예) semi*
""	따옴표 내의 구문과 완전히 일치하는 문서만 검색	예) "Transform and Quantization"

과학기술 지식인프라 ScienceON

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

특허 상세정보

MyON담기

내보내기 페이스북 공유 트위터 공유 카카오톡 공유

Vehicular collision avoidance system

특허상세정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06F-017/10
미국특허분류(USC)	701/301; 701/096; 340/435; 340/436; 340/438; 342/029
출원번호	US-0193512 (2002-07-11)
발명자 / 주소	Ernst, Jr.,Raymond P. Wilson,Terry B.
출원인 / 주소	Yazaki North America, Inc.
대리인 / 주소	Rader, Fishman &
인용정보	피인용 횟수 : 263 인용 특허 : 23

초록
▼

A collision avoidance system for use in a vehicle. The system facilitates the avoidance of other vehicles and other potential hazards or obstacles. A sensor subsystem is used to capture sensor data relating to one or more areas outside the vehicle. Sensor data is sent from the sensor subsystem to a threat assessment subsystem for generating a threat assessment from the sensor data. The threat assessment is then sent to a feedback subsystem so that if appropriate, a response is generated by the system. The response can take the form of a visual, audio, and/or haptic warning. The response can also take the form of changes with respect to the vehicle itself, such as an automatic reduction in speed. The system can incorporate user-based attributes, vehicle-based attributes, and environment-based attributes in evaluating potential threats and contemplating system responses to those threats. A wide variety of different heuristics can be applied by the system. The system can be configured to minimize nuisance alarms and accommodate distinctions between users based on user preferences, user history, and other factors.

대표
청구항
▼

What is claimed is: 1. A collision avoidance system for a vehicle, comprising: a sensor subsystem, wherein said sensor subsystem provides for the capture of sensor data from a radar measurement external to the vehicle; an identification technology for storing internal attributes associated with a user of the vehicle; a threat analysis subsystem, wherein said threat analysis subsystem provides for generating a threat assessment from said sensor data and a selected internal attribute from said identification technology; and a feedback subsystem for processing said threat assessment and generating a feedback response from said threat assessment. 2. The system of claim 1, further comprising an accident information transmittal module, wherein said accident information transmittal module transmits an accident report after an accident. 3. The system of claim 1, further comprising an information sharing module and a target vehicle, wherein said information sharing module receives data from said target vehicle. 4. The system of claim 1, further comprising an information sharing module and a target vehicle, wherein said information sharing module transmits data to said target vehicle. 5. The system of claim 1, said threat assessment subsystem further including a plurality of modes, said plurality of modes comprising a headway maintenance mode and a speed maintenance mode. 6. The system of claim 5, further comprising an operator control mode. 7. The system of claim 1, wherein said threat assessment is a braking level and wherein said selected internal attribute is a predefined braking preference threshold, and wherein said feedback is determined by whether said braking level exceeds said predefined braking preference threshold. 8. The system of claim 1, further comprising a simulation component, wherein said selected internal attribute is set with said simulation component. 9. The system of claim 1, wherein said feedback subsystem provides for generating said feedback response from said selected internal attribute. 10. The system of claim 1, wherein said selected internal attribute is a user-specific attribute. 11. The system of claim 10, wherein said user-specific attribute is a selection-based attribute. 12. The system of claim 10, wherein said user-specific attribute is a history-based attribute. 13. The system of claim 10, wherein said user-specific attribute is a condition-based attribute. 14. The system of claim 1, wherein said identification technology comprises a smart card. 15. The system of claim 1, wherein said sensor data is a radar measurement from only one radar. 16. The system of claim 15, wherein said radar measurement is a forward looking radar measurement. 17. The system of claim 1, wherein said feedback response is a haptic warning. 18. The system of claim 1, wherein said feedback response is an automatic reduction in the speed of the vehicle. 19. The system of claim 1, wherein said feedback response is a virtual tow. 20. The system of claim 1, wherein said feedback response comprises an audio warning and a chance in speed. 21. The system of claim 20, wherein said feedback response further comprises a haptic warning. 22. The system of claim 1, wherein said feedback response comprises a plurality of warnings of varying severity. 23. The system of claim 1, wherein said feedback response is a following-too-close warning. 24. The system of claim 1, wherein said threat analysis subsystem includes a headway maintenance mode. 25. The system of claim 1, wherein said threat analysis subsystem includes a speed maintenance mode. 26. The system of claim 1, wherein said feedback subsystem is capable of being disabled by a driver interface in the vehicle. 27. The system of claim 1, wherein said sensor subsystem generates an attentiveness level and wherein said threat assessment subsystem generates said threat assessment with said attentiveness level. 28. The system of claim 1, wherein said sensor subsystem generates an impairment level and wherein said threat assessment subsystem generates said threat assessment with said impairment level. 29. The system of claim 1, wherein said sensor subsystem includes a path-prediction module and a scene detector module. 30. The system of claim 1, wherein said sensor subsystem includes a stationary-object processing module. 31. The system of claim 1, further comprising a nuisance rate and a predetermined nuisance rate goal, wherein said predetermined nuisance rate goal is greater than said nuisance rate. 32. The system of claim 1, wherein said selected internal attribute comprises a user-based reaction time. 33. The system of claim 1, wherein said threat analysis subsystem includes a roadway environment attribute, and wherein said threat analysis subsystem generates said threat assessment with said roadway environment attribute. 34. The system of claim 33, wherein said roadway environment attribute is a change in grade, and wherein said change in grade does not cause a false alarm. 35. The system of claim 33, wherein said roadway environment attribute is a road surface condition, and wherein said road surface condition does not cause a false alarm. 36. The system of claim 33, wherein said roadway environment attribute is a surface type, and wherein said surface type does not cause a false alarm. 37. A collision avoidance system for a vehicle, comprising: a sensor module for capturing sensor data; an object detection module for identifying an object with said sensor data; an object tracker module for generating tracking information relating to said object; means for storing at least one user-based attribute associated with a user of the vehicle; and a threat detector module for generating a threat assessment from said tracking information and said at least one user-based attribute. 38. The system of claim 37, wherein said user-based internal attribute is a braking level preference threshold, and wherein said threat detector module compares said braking level preference threshold to a braking level required to avoid a collision, before generating said threat assessment. 39. The system of claim 38, wherein said breaking level preference threshold is a selection-based attribute. 40. The system of claim 38, wherein said breaking level preference threshold is a history-based attribute. 41. The system of claim 37, wherein said user-based attribute is a response time threshold, and wherein said threat detector module compares said response time threshold to a response time require to avoid a collision, before generating said threat assessment. 42. The system of claim 41, wherein said response time threshold is a history-based attribute. 43. The system of claim 37, further comprising a plurality of modes including a headway maintenance mode and a speed maintenance mode, wherein said threat assessment depends on a mode in said plurality of modes. 44. The system of claim 37, further comprising a heuristic for generating said threat assessment. 45. The system of claim 44, wherein said heuristic is an azimuth angle scene detection heuristic. 46. The system of claim 44, wherein said heuristic is a yaw rate scene detection heuristic. 47. The system of claim 44, wherein said heuristic is a radius of curvature scene detection heuristic. 48. A method of building automotive collision avoidance systems, comprising the steps of: setting a user-specific brake level preference threshold for use with the automotive collision avoidance system; and programming a computer for use in the automotive collision avoidance system to initiate feedback when avoidance of a collision would require a brake level greater than the user-specific brake preference threshold. 49. The method of claim 48, wherein setting the user-specific brake level preference threshold comprises applying a statistical analysis to normative data. 50. The method of claim 48, wherein the user-specific brake level preference is set with a user-based attribute. 51. The method of claim 48, wherein the user-specific brake level preference is determined by a selection-based attribute. 52. The method of claim 48, wherein the user-specific brake level preference is determined by a history-based attribute. 53. The method of claim 48, wherein initiating feedback includes generating a haptic warning. 54. The method of claim 48, wherein initiating feedback includes automatically reducing the speed of the vehicle. 55. A method of building automotive collision avoidance systems, comprising the steps of: setting a user-specific response time threshold for use with the automotive collision avoidance system; and programming a computer in the automotive collision avoidance system to initiate feedback when avoidance of a collision would require a response time greater than the user-specific response time threshold. 56. The method of claim 48, wherein the user-specific response time threshold is a history-based attribute. 57. The system of claim 1, wherein said internal attribute is not derived from said sensor data. 58. The system of claim 1, further comprising a plurality of internal attributes, wherein said plurality of internal attributes includes said at least one user-based attribute and at least one vehicle-based attribute. 59. The system of claim 1, wherein said threat assessment is a collision assessment. 60. A collision avoidance system for a vehicle, comprising: a sensor subsystem, wherein said sensor subsystem provides for the capture of sensor data; a threat analysis subsystem, wherein said threat analysis subsystem provides for generating a threat assessment from said sensor data and at least one internal attribute, said at least one internal attribute being history based; and a feedback subsystem, wherein said feedback subsystem provides for generating a feedback response from said threat assessment. 61. The system of claim 60, wherein said history-based internal attribute comprises a braking level preference attribute determined from data representative of a braking history. 62. The system of claim 60, wherein said history-based internal attribute comprises a user-based reaction time determined from data representative of a reaction time history. 63. The system of claim 60, wherein said history-based internal attribute comprises a user condition determined from data representative of historical user driving actions.

이 특허에 인용된 특허 (23)

이 특허를 인용한 특허 피인용횟수: 263

IPC 상위 출원인

내보내기

상세정보
내보내기 구분	파일저장 인쇄 메일전송
구성항목	관리번호, 국가코드, 자료구분, 상태, 출원번호, 출원일자, 공개번호, 공개일자, 등록번호, 등록일자, 발명명칭(한글), 발명명칭(영문), 출원인(한글), 출원인(영문), 출원인코드, 대표IPC 관리번호, 국가코드, 자료구분, 상태, 출원번호, 출원일자, 공개번호, 공개일자, 공고번호, 공고일자, 등록번호, 등록일자, 발명명칭(한글), 발명명칭(영문), 출원인(한글), 출원인(영문), 출원인코드, 대표출원인, 출원인국적, 출원인주소, 발명자, 발명자E, 발명자코드, 발명자주소, 발명자 우편번호, 발명자국적, 대표IPC, IPC코드, 요약, 미국특허분류, 대리인주소, 대리인코드, 대리인(한글), 대리인(영문), 국제공개일자, 국제공개번호, 국제출원일자, 국제출원번호, 우선권, 우선권주장일, 우선권국가, 우선권출원번호, 원출원일자, 원출원번호, 지정국, Citing Patents, Cited Patents
저장형식	Text(ASCII format) Excel format PIAS분석(.xls)
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	> 총 건의 자료가 검색되었습니다. > 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) > 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. > 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) > 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오 > ~ > Text(ASCII format) Excel format

과학기술 지식인프라 ScienceON

ScienceON Chatbot

연합인증

특허 상세정보

Vehicular collision avoidance system

초록
▼

대표
청구항
▼

이 특허에 인용된 특허 (23)

이 특허를 인용한 특허 피인용횟수: 263

IPC 상위 출원인

과제정보

상세정보조회

원문조회

IPC 상세정보(version : 201201)

연구과제 성과물(0)

참여연구원의 다른 문헌(0)

처리중입니다.

잠시만 기다려주세요.

ScienceON Chatbot

연합인증

특허 상세정보

Vehicular collision avoidance system

초록 ▼

대표청구항 ▼

이 특허에 인용된 특허 (23)

이 특허를 인용한 특허 피인용횟수: 263

IPC 상위 출원인

과제정보

상세정보조회

원문조회

IPC 상세정보(version : 201201)

연구과제 성과물(0)

참여연구원의 다른 문헌(0)

처리중입니다.

잠시만 기다려주세요.

초록
▼

대표
청구항
▼