Improvement of Adaptive Cruise Control Performance

This paper describes the Adaptive Cruise Control system (ACC), a system which reduces the driving burden on the driver. The ACC system primarily supports four driving modes on the road and controls the acceleration and deceleration of the vehicle in order to maintain a set speed or to avoid a crash. This paper proposes more accurate methods of detecting the preceding vehicle by radar while cornering, with consideration for the vehicle sideslip angle, and also of controlling the distance between vehicles. By making full use of the proposed identification logic for preceding vehicles and path estimation logic, an improvement in driving stability was achieved.

[1]  Kazutaka Adachi OS3 Proposal of a target headway distance method and applying this method to a car for adaptive cruise control system , 2006 .

[2]  Takayuki Watanabe,et al.  Trust in Low-speed Adaptive Cruise Control Systems : Analysis of Trust Structure , 2005 .

[3]  Zhuoping Yu,et al.  Sideslip angle estimation based on input–output linearisation with tire–road friction adaptation , 2010 .

[4]  Hikaru Nishira,et al.  An ACC Design Method for Achieving Both String Stability and Ride Comfort , 2008 .

[5]  Keum-Shik Hong,et al.  An IMM Algorithm for Tracking Maneuvering Vehicles in an Adaptive Cruise Control Environment , 2004 .

[6]  K. Osugi,et al.  Development of the scanning laser radar for acc system , 1999 .

[7]  Toshihiro Hiraoka,et al.  Sideslip angle estimation and active front steering system based on lateral acceleration data at centers of percussion with respect to front/rear wheels , 2004 .

[8]  Zehang Sun,et al.  Monocular precrash vehicle detection: features and classifiers , 2006, IEEE Transactions on Image Processing.

[9]  Bo-Chiuan Chen,et al.  Sideslip angle estimation using extended Kalman filter , 2008 .

[10]  Noriko Shimomura A Study on Preceding Vehicle Tracking on Curved Roads Using Stereo Vision , 1997 .

[11]  Satoshi Nakamura,et al.  A Method of Tracking a Forward Vehicle using a Scanning Laser Radar and a Camera , 2003 .

[12]  H. Fukuoka,et al.  Driving support system adaptive to the state of surrounding vehicle drivers , 2009, 2009 IEEE Intelligent Vehicles Symposium.