发明名称 |
Continuous Occlusion Models for Road Scene Understanding |
摘要 |
Systems and methods are disclosed for road scene understanding of vehicles in traffic by capturing images of traffic with a camera coupled to a vehicle; generating a continuous model of occlusions with a continuous occlusion mode for traffic participants to enhance point track association accuracy without distinguishing between moving and static objects; applying the continuous occlusion model to handle visibility constraints in object tracks; and combining point track association and soft object track modeling to improve 3D localization accuracy. |
申请公布号 |
US2016137206(A1) |
申请公布日期 |
2016.05.19 |
申请号 |
US201514879264 |
申请日期 |
2015.10.09 |
申请人 |
NEC Laboratories America, Inc. |
发明人 |
Chandraker Manmohan;Dhiman Vikas |
分类号 |
B60W40/04;G06T17/00;H04N7/18;H04N5/225;G06T7/20;G06K9/00 |
主分类号 |
B60W40/04 |
代理机构 |
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代理人 |
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主权项 |
1. A method for road scene understanding of vehicles in traffic, comprising
capturing images of traffic with a camera coupled to a vehicle; generating a continuous model of occlusions with a continuous occlusion mode for traffic participants to enhance point track association accuracy without distinguishing between moving and static objects; applying the continuous occlusion model to handle visibility constraints in object tracks; and combining point track association and soft object track modeling to improve 3D localization accuracy. |
地址 |
Princeton NJ US |