-
1.发明授权Moving object prediction device, hypothetical movable object prediction device, program, moving object prediction method and hypothetical movable object prediction method 有权移动物体预测装置，假想可移动物体预测装置，程序，移动物体预测方法和假想移动物体预测方法公开(公告)号：US09424468B2
公开(公告)日：2016-08-23
申请号：US13821147
申请日：2011-09-08
CPC分类号： G06K9/00624 , G06K9/00362 , G06K9/00805 , G06T7/246 , G06T2207/20076 , G06T2207/30261 , G08G1/166
摘要： A position, behavior state and movement state of a moving object are detected, together with plural categories of track segment region and stationary object regions, using an environment detection section. A presence probability is applied to the detected track segment regions and stationary object regions and a presence probability map is generated, using a map generation section. A moving object position distribution and movement state distribution are generated by a moving object generation section based on the detected moving object position, behavior state and movement state, and recorded on the presence probability map. The moving object position distribution is moved by a position update section based on the moving object movement state distribution. The moved position distribution is changed by a distribution change section based on the presence probabilities of the presence probability map, and a future position distribution of the moving object is predicted on the presence probability map. Consequently, the future position of the moving object can be predicted with good precision under various conditions.
摘要翻译： 使用环境检测部分，与多个类别的轨道段区域和静止物体区域一起检测移动物体的位置，行为状态和移动状态。 将存在概率应用于检测到的轨道段区域和静止对象区域，并且使用地图生成部分生成存在概率图。 运动物体位置分布和运动状态分布由移动物体生成部基于检测到的运动物体位置，行为状态和运动状态生成并记录在存在概率图上。 基于移动物体移动状态分布，通过位置更新部移动移动物体位置分布。 基于存在概率图的存在概率，通过分布改变部分改变移动位置分布，并且在存在概率图上预测移动对象的未来位置分布。 因此，可以在各种条件下以良好的精度预测移动物体的未来位置。
-
2.发明申请MOVING OBJECT PREDICTION DEVICE, HYPOTHETICAL MOVABLE OBJECT PREDICTION DEVICE, PROGRAM, MOVING OBJECT PREDICTION METHOD AND HYPOTHETICAL MOVABLE OBJECT PREDICTION METHOD 有权移动对象预测装置，可移动对象预测装置，程序，移动对象预测方法和可移动对象预测方法公开(公告)号：US20130223686A1
公开(公告)日：2013-08-29
申请号：US13821147
申请日：2011-09-08
IPC分类号： G06K9/00
CPC分类号： G06K9/00624 , G06K9/00362 , G06K9/00805 , G06T7/246 , G06T2207/20076 , G06T2207/30261 , G08G1/166
摘要： A position, behavior state and movement state of a moving object are detected, together with plural categories of track segment region and stationary object regions, using an environment detection section. A presence probability is applied to the detected track segment regions and stationary object regions and a presence probability map is generated, using a map generation section. A moving object position distribution and movement state distribution are generated by a moving object generation section based on the detected moving object position, behavior state and movement state, and recorded on the presence probability map. The moving object position distribution is moved by a position update section based on the moving object movement state distribution. The moved position distribution is changed by a distribution change section based on the presence probabilities of the presence probability map, and a future position distribution of the moving object is predicted on the presence probability map. Consequently, the future position of the moving object can be predicted with good precision under various conditions.
摘要翻译： 使用环境检测部分，与多个类别的轨道段区域和静止物体区域一起检测移动物体的位置，行为状态和移动状态。 将存在概率应用于检测到的轨道段区域和静止对象区域，并且使用地图生成部分生成存在概率图。 运动物体位置分布和运动状态分布由移动物体生成部基于检测到的运动物体位置，行为状态和运动状态生成并记录在存在概率图上。 基于移动物体移动状态分布，通过位置更新部移动移动物体位置分布。 基于存在概率图的存在概率，通过分布改变部分改变移动位置分布，并且在存在概率图上预测移动对象的未来位置分布。 因此，可以在各种条件下以良好的精度预测移动物体的未来位置。
-
公开(公告)号：US09586582B2
公开(公告)日：2017-03-07
申请号：US14406831
申请日：2013-06-10
CPC分类号： B60W30/143 , B60W30/18154 , B60W2720/10 , B60W2720/103 , B60W2720/106 , G08G1/164 , G08G1/166 , G08G1/167
摘要： In a driving support system, a target speed profile computing unit determines a target speed on the basis of a safe-condition confirmation end point that is set to a predetermined position in a travel direction of a host vehicle. The safe-condition confirmation end point is a point at which the host vehicle passes through a section following the safe-condition confirmation end point in advance of a moving object that appears from blind areas. In this way, by determining the target speed based on the safe-condition confirmation end point, the drive support control unit is able to support driving in consideration of driving action at the time when the driver actually causes the host vehicle to pass through near the blind areas. Thus, it is possible to appropriately support driving along a feeling of the driver such that inconvenience and a feeling of strangeness are reduced.
摘要翻译： 在驾驶辅助系统中，目标速度曲线计算单元基于设定在本车辆的行驶方向上的预定位置的安全条件确认终点来确定目标速度。 安全条件确认结束点是在从盲区出现的移动物体之前，本车辆经过安全条件确认结束点之后的部分的点。 以这种方式，通过基于安全条件确认终点确定目标速度，驱动器支持控制单元能够考虑到驾驶员实际上使主车辆靠近的驾驶员通过时的驾驶动作来支持驾驶 盲区。 因此，可以根据驾驶员的感觉适当地支持驾驶，从而减少了不便和不感觉。
-
公开(公告)号：US09132775B2
公开(公告)日：2015-09-15
申请号：US13990608
申请日：2011-11-21
摘要： An environmental movement detection section detects the speed of a vehicle and detects a mobile object in the vicinity of the vehicle. A collision probability prediction section predicts the probability of a prospective collision between the vehicle and the detected vicinity mobile object. On the basis of approach speeds, collision probabilities and sideward passing speeds when passing other mobile objects to sideward that have been determined from standard movements, a movement standard learning section learns relationships between approach speed, collision probability and sideward passing speed. On the basis of learning results at the movement standard learning section, a path characteristic point generation section determines a standard sideward passing speed for when passing the vicinity mobile object to sideward that corresponds with the detected approach speed and the predicted collision probability. Thus, standard mobile object states may be determined efficiently.
摘要翻译： 环境移动检测部检测车辆的速度并检测车辆附近的移动体。 冲突概率预测部分预测车辆与检测到的附近移动物体之间的预期碰撞的概率。 基于进近速度，碰撞概率和通过从标准运动确定的侧向其他移动物体的侧向通过速度，运动标准学习部分学习进近速度，碰撞概率和侧向通过速度之间的关系。 基于运动标准学习部分的学习结果，路径特征点生成部分确定当与所检测到的接近速度和预测的碰撞概率相对应时，将移动对象附近的侧向通过的标准侧向通过速度确定。 因此，可以有效地确定标准的移动对象状态。
-
公开(公告)号：US20150142285A1
公开(公告)日：2015-05-21
申请号：US14406831
申请日：2013-06-10
IPC分类号： B60W30/14
CPC分类号： B60W30/143 , B60W30/18154 , B60W2720/10 , B60W2720/103 , B60W2720/106 , G08G1/164 , G08G1/166 , G08G1/167
摘要： In a driving support system, a target speed profile computing unit determines a target speed on the basis of a safe-condition confirmation end point that is set to a predetermined position in a travel direction of a host vehicle. The safe-condition confirmation end point is a point at which the host vehicle passes through a section following the safe-condition confirmation end point in advance of a moving object that appears from blind areas. In this way, by determining the target speed based on the safe-condition confirmation end point, the drive support control unit is able to support driving in consideration of driving action at the time when the driver actually causes the host vehicle to pass through near the blind areas. Thus, it is possible to appropriately support driving along a feeling of the driver such that inconvenience and a feeling of strangeness are reduced.
摘要翻译： 在驾驶辅助系统中，目标速度曲线计算单元基于设定在本车辆的行驶方向上的预定位置的安全条件确认终点来确定目标速度。 安全条件确认结束点是在从盲区出现的移动物体之前，本车辆经过安全条件确认结束点之后的部分的点。 以这种方式，通过基于安全条件确认终点确定目标速度，驱动器支持控制单元能够考虑到驾驶员实际上使主车辆靠近的驾驶员通过时的驾驶动作来支持驾驶 盲区。 因此，可以根据驾驶员的感觉适当地支持驾驶，从而减少了不便和不感觉。
-
公开(公告)号：US20130293395A1
公开(公告)日：2013-11-07
申请号：US13990608
申请日：2011-11-21
IPC分类号： B60Q9/00
摘要： An environmental movement detection section detects the speed of a vehicle and detects a mobile object in the vicinity of the vehicle. A collision probability prediction section predicts the probability of a prospective collision between the vehicle and the detected vicinity mobile object. On the basis of approach speeds, collision probabilities and sideward passing speeds when passing other mobile objects to sideward that have been determined from standard movements, a movement standard learning section learns relationships between approach speed, collision probability and sideward passing speed. On the basis of learning results at the movement standard learning section, a path characteristic point generation section determines a standard sideward passing speed for when passing the vicinity mobile object to sideward that corresponds with the detected approach speed and the predicted collision probability. Thus, standard mobile object states may be determined efficiently.
摘要翻译： 环境移动检测部检测车辆的速度并检测车辆附近的移动体。 冲突概率预测部分预测车辆与检测到的附近移动物体之间的预期碰撞的概率。 基于进近速度，碰撞概率和通过从标准运动确定的侧向其他移动物体的侧向通过速度，运动标准学习部分学习进近速度，碰撞概率和侧向通过速度之间的关系。 基于运动标准学习部分的学习结果，路径特征点生成部分确定当与所检测到的接近速度和预测的碰撞概率相对应时，将移动对象附近的侧向通过的标准侧向通过速度确定。 因此，可以有效地确定标准的移动对象状态。
-
-
-
-
-
搜索结果
6 条记录 (耗时 0.024 秒)
