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Sensor aggregation framework for autonomous driving vehicles

An automatic driving and sensor technology, applied in the direction of motor vehicles, vehicle position/route/altitude control, instruments, etc., can solve problems such as conflicts and difficult time stamp alignment

Pending Publication Date: 2019-10-25
BAIDU USA LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in general, timestamp alignment is difficult to perform correctly and efficiently, and sensor data aggregation often produces conflicting results between sensors

Method used

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  • Sensor aggregation framework for autonomous driving vehicles
  • Sensor aggregation framework for autonomous driving vehicles
  • Sensor aggregation framework for autonomous driving vehicles

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Embodiment Construction

[0034] Various embodiments and aspects of the disclosure will be described with reference to details discussed below and illustrated in the accompanying drawings. The following description and drawings are illustrative of the present disclosure and should not be construed as limiting the present disclosure. Numerous specific details are described to provide a thorough understanding of various embodiments of the present disclosure. However, in certain instances, well-known or conventional details are not described in order to provide a concise discussion of embodiments of the present disclosure.

[0035] Reference in this specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present disclosure. The appearances of the phrase "in one embodiment" in various places in this specification are not necessarily all referring to the s...

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Abstract

A sensor aggregation framework for autonomous driving vehicles is disclosed. In one embodiment, sensor data is collected from one or more sensors mounted on an autonomous driving vehicle (ADV) while the ADV is moving within a region of interest (ROI) that includes a number of obstacles. The sensor data includes obstacle information of the obstacles and vehicle data of the ADV. Each of the vehicledata is timestamped with a current time at which the vehicle data is captured to generate a number of timestamps that correspond to the vehicle data. The obstacle information, the vehicle data, and the corresponding timestamps are aggregated into training data. The training data is used to train a set of parameters that is subsequently utilized to predict at least in part future obstacle behaviorsand vehicle movement of the ADV.

Description

technical field [0001] Embodiments of the present disclosure generally relate to operating an autonomous vehicle. More specifically, embodiments of the present disclosure relate to sensor aggregation frameworks for autonomous vehicles. Background technique [0002] Vehicles operating in an autonomous mode (eg, driverless) can relieve the occupants, especially the driver, from some driving-related duties. When operating in autonomous mode, the vehicle can navigate to various locations using on-board sensors, allowing the vehicle to drive with minimal human interaction or in some situations without any passengers. [0003] Motion planning and control are key operations in autonomous driving. However, traditional motion planning operations mainly estimate the difficulty of completing a given path from its curvature and velocity, without considering the differences in characteristics of different types of vehicles. Apply the same motion planning and control to all types of ve...

Claims

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Application Information

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IPC IPC(8): G05D1/02G06V10/776
CPCG05D1/0225G05D1/0223G05D1/0221G05D1/0248G05D1/0242G05D1/0255G05D1/0257G05D1/027G05D1/0274G05D1/0278G05D1/0088G01C21/3492G06N3/08B60W30/08B60W50/0097G06V20/58G06V10/96G06V10/776G06N3/044G06N3/045G05D1/0214G01C21/3446G06N20/00
Inventor 张亮亮李栋胡江滔陶佳鸣蒋一飞
Owner BAIDU USA LLC
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