Abstract:
The present lane departure prevention system comprises a position detector means for detecting positional information of a vehicle with respect to a lane of travel, a determining unit for comparing the positional information with a first threshold value indicating a predetermined positional relation with respect to the lane of travel, and determining a departure of the vehicle from the lane of travel on the basis of the comparison result, and a yaw moment applying unit for applying a yaw moment to the vehicle and switching a first process of applying the yaw moment to the vehicle only by steering wheels and a second process of applying the yaw moment to the vehicle by steering the wheels and applying a braking power to the wheels, on the basis of a traveling condition of the vehicle, when the determining unit determines that the vehicle departs from the lane of travel.
Abstract:
A lane departure prevention apparatus is configured to conduct a course correction in a lane departure avoidance direction when the controller 8 determines that there is a potential for a vehicle to depart from a driving lane. The controller 8 combines yaw control and deceleration control to conduct departure prevention control to avoid lane departure. The yaw control is not actuated if the opposite direction from the steering direction coincides with the lane departure direction (steps S10 and S11). Preferably, the controller 8 sets the timing of yaw moment and the deceleration of the vehicle on the basis of the acceleration or deceleration of the vehicle, and performs braking control so that these settings are achieved (steps S7 to S9). Preferably, the controller 8 calculates the target yaw moment in the lane departure-avoidance direction on the basis of the running state of the vehicle, and calculates the deceleration amount by taking into account the driver braking operation amount.
Abstract:
A system and method assist the driver of a motor vehicle in preventing accidents or minimizing the effects of same. In one form, a television camera is mounted on a vehicle and scans the roadway ahead of the vehicle as the vehicle travels. Continuously generated video picture signals output by the camera are electronically processed and analyzed by an image analyzing computer, which generates codes, that serve to identify obstacles. A decision computer mounted in the controlled vehicle receives such code signals along with code signals generated by the speedometer or one or more sensors sensing steering mechanism operation and generates control signals. Such code signals maybe displayed, and as synthetic speech or special sound generating and warning means used to warn the driver of the vehicle of approaching and existing hazards. The system may also use the control signals, particularly through application of fuzzy logic, to control the operation of the brakes and steering mechanism of the vehicle to avoid or lessen the effects of a collision. In a particular form, the decision computer may select the evasive action taken from a number of choices, depending on whether and where the detection device senses other vehicles or obstacles.
Abstract:
A road shape recognition apparatus is mounted in a vehicle. The road shape recognition apparatus acquires a road image, determines a road shape using the road image, recognizes the road shape based on the road image within a predetermined recognition range, and estimates the road shape outside of the recognition range based on the road shape within the recognition range. The road shape recognition apparatus estimates the road shape outside of the recognition range and within a first distance as a curved line of which a curvature change rate is constant, and the road shape farther than the first distance as a curved line of which a curvature is constant.
Abstract:
There is provided a vehicle control system capable of ensuring stability even if a vehicle spins slowly. The invention recognizes a travel-path defining line of a travel path from information about an area located in the traveling direction of an ego vehicle, recognizes a traveling-direction virtual line extending from the ego vehicle in the traveling direction, and controls vehicle motion to reduce a formed angle between the traveling-direction virtual line and the travel-path defining line at least when the formed angle increases.
Abstract:
A lane departure prevention apparatus is configured to conduct a course correction in a lane departure avoidance direction when the controller 8 determines that there is a potential for a vehicle to depart from a driving lane. The controller 8 combines yaw control and deceleration control to conduct departure prevention control to avoid lane departure. The yaw control is not actuated if the opposite direction from the steering direction coincides with the lane departure direction (steps S10 and S11). Preferably, the controller 8 sets the timing of yaw moment and the deceleration of the vehicle on the basis of the acceleration or deceleration of the vehicle, and performs braking control so that these settings are achieved (steps S7 to S9). Preferably, the controller 8 calculates the target yaw moment in the lane departure-avoidance direction on the basis of the running state of the vehicle, and calculates the deceleration amount by taking into account the driver braking operation amount.
Abstract:
A method for influencing a system that controls or regulates the position and/or the orientation of a motor vehicle with respect to a traffic lane is provided. The system is deactivated if a danger of collision with an obstacle in the traffic lane is detected, and that the system is activated only if a potentially dangerous situation with respect to the driving dynamics of the motor vehicle is detected.
Abstract:
GPS satellite (4) ranging signals (6) received (32) on comm1, and DGPS auxiliary range correction signals and pseudolite carrier phase ambiguity resolution signals (8) from a fixed known earth base station (10) received (34) on comm2, at one of a plurality of vehicles/aircraft/automobiles (2) are computer processed (36) to continuously determine the one's kinematic tracking position on a pathway (14) with centimeter accuracy. That GPS-based position is communicated with selected other status information to each other one of the plurality of vehicles (2), to the one station (10), and/or to one of a plurality of control centers (16), and the one vehicle receives therefrom each of the others' status information and kinematic tracking position. Objects (22) are detected from all directions (300) by multiple supplemental mechanisms, e.g., video (54), radar/lidar (56), laser and optical scanners. Data and information are computer processed and analyzed (50,52,200,452) in neural networks (132, FIGS. 6-8) in the one vehicle to identify, rank, and evaluate collision hazards/objects, an expert operating response to which is determined in a fuzzy logic associative memory (484) which generates control signals which actuate a plurality of control systems of the one vehicle in a coordinated manner to maneuver it laterally and longitudinally to avoid each collision hazard, or, for motor vehicles, when a collision is unavoidable, to minimize injury or damage therefrom. The operator is warned by a heads up display and other modes and may override. An automotive auto-pilot mode is provided.
Abstract:
GPS satellite (4) ranging signals (6) received (32) on comm1, and DGPS auxiliary range correction signals and pseudolite carrier phase ambiguity resolution signals (8) from a fixed known earth base station (10) received (34) on comm2, at one of a plurality of vehicles/aircraft/automobiles (2) are computer processed (36) to continuously determine the one's kinematic tracking position on a pathway (14) with centimeter accuracy. That GPS-based position is communicated with selected other status information to each other one of the plurality of vehicles (2), to the one station (10), and/or to one of a plurality of control centers (16), and the one vehicle receives therefrom each of the others' status information and kinematic tracking position. Objects (22) are detected from all directions (300) by multiple supplemental mechanisms, e.g., video (54), radar/lidar (56), laser and optical scanners. Data and information are computer processed and analyzed (50,52,200,452) in neural networks (132, FIGS. 6-8) in the one vehicle to identify, rank, and evaluate collision hazards/objects, an expert operating response to which is determined in a fuzzy logic associative memory (484) which generates control signals which actuate a plurality of control systems of the one vehicle in a coordinated manner to maneuver it laterally and longitudinally to avoid each collision hazard, or, for motor vehicles, when a collision is unavoidable, to minimize injury or damage therefrom. The operator is warned by a heads up display and other modes and may override. An automotive auto-pilot mode is provided.
Abstract:
Disclosed is a driving support apparatus for setting a traveling lane in which a vehicle can travel on the basis of a road marking to indicate a lane boundary or a traveling-prohibited region and performing support by combining steering of the vehicle and deceleration of the vehicle so that the vehicle is allowed to travel in the traveling lane if the vehicle is to be departed from the traveling lane, wherein the steering of the vehicle and the deceleration of the vehicle, which are to be performed when the support is performed so that the vehicle is allowed to travel in the traveling lane, are individually controlled depending on a difference ΔY between a target yaw rate Ytrg and an actual yaw rate Yrea if the actual yaw rate Yrea is smaller than the target yaw rate Ytrg in order not to allow the vehicle to exceed the traveling lane.