All around the world almost 45% of the accidents occur by mistakes o
f the driver. Most of these accidents are fatal. The victims of such accidents are either severly injured, some even risk their life by their careless driving. This was the main reason behind this project work put forward by the Delphi-Delco electronic systems and General Motors Corporation. It was called the Automotive Collision Avoidance Systems (ACAS) field operation program.
WORKING:-
TWO TYPE OF CONTROLS:-
1.Forward Collision Warning (FCW) :-
Forward Collision Warning (FCW) System was one of the ac
hievements of the Delphi-Delco Electronic Systems, which was successfully implemented in the
(a) 1994 Toyota Lexus LS400
(b) 1994 GM Cadillac Seville, and
(c) 1998 Opel Vectra.
These vehicles have been modified to provide the basic functionality of fully integrated ACC and FCW systems. Forewarn Smart Cruise Control with Headway Alert uses a mechanically scanning, 76 GHz, long-range radar sensor to detect objects in the vehicle's path up to 150 meters or 402 feet ahead. The system helps to reduce the need for drivers to manually adjust speed or disengage cruise control when encountering slower traffic.
2.Adaptive Cruise Control (ACC)
• Adaptive Cruise Control and Forward Collision Warning systems re
quire an ability to resolve and identify robustly the existence of both stationary and moving 'target' vehicles that are in the motion path of the Host vehicle. The performance of these systems is affected by their ability
(a) to estimate the relative inter-vehicular path motion between the host vehicle, the roadway ahead of the host, and all of the appropriate targets and
(b) to predict the mutual intersection of these motion paths. In addition, these systems must be robust in the presence of various types of driving behavior and roadway conditions are encountered in the 'real-world' environment.
• The target selection approach pursued used a single active forward looking radar sensor augmented with a yaw rate sensor. The forward-looking radar sensor provided target range, range rate, and angular position information.
• The yaw rate sensor was used to estimate the roadway curvature ahead of the Host vehicle. Delphi's first generation target discrimination algorithms were used to identify overhead bridge objects and to discriminate between moving cars and trucks.
f the driver. Most of these accidents are fatal. The victims of such accidents are either severly injured, some even risk their life by their careless driving. This was the main reason behind this project work put forward by the Delphi-Delco electronic systems and General Motors Corporation. It was called the Automotive Collision Avoidance Systems (ACAS) field operation program.WORKING:-
TWO TYPE OF CONTROLS:-
1.Forward Collision Warning (FCW) :-
Forward Collision Warning (FCW) System was one of the ac
hievements of the Delphi-Delco Electronic Systems, which was successfully implemented in the(a) 1994 Toyota Lexus LS400
(b) 1994 GM Cadillac Seville, and
(c) 1998 Opel Vectra.
These vehicles have been modified to provide the basic functionality of fully integrated ACC and FCW systems. Forewarn Smart Cruise Control with Headway Alert uses a mechanically scanning, 76 GHz, long-range radar sensor to detect objects in the vehicle's path up to 150 meters or 402 feet ahead. The system helps to reduce the need for drivers to manually adjust speed or disengage cruise control when encountering slower traffic.
2.Adaptive Cruise Control (ACC)
• Adaptive Cruise Control and Forward Collision Warning systems re
quire an ability to resolve and identify robustly the existence of both stationary and moving 'target' vehicles that are in the motion path of the Host vehicle. The performance of these systems is affected by their ability(a) to estimate the relative inter-vehicular path motion between the host vehicle, the roadway ahead of the host, and all of the appropriate targets and
(b) to predict the mutual intersection of these motion paths. In addition, these systems must be robust in the presence of various types of driving behavior and roadway conditions are encountered in the 'real-world' environment.
• The target selection approach pursued used a single active forward looking radar sensor augmented with a yaw rate sensor. The forward-looking radar sensor provided target range, range rate, and angular position information.
• The yaw rate sensor was used to estimate the roadway curvature ahead of the Host vehicle. Delphi's first generation target discrimination algorithms were used to identify overhead bridge objects and to discriminate between moving cars and trucks.
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