AI Talk Live丨How does the autonomous driving system solve the problems of multi-view information fusion, multi-modal data fusion, and time-space asynchrony?

 

1. Wonderful preview of the fourth issue

Accurate sensor calibration is a prerequisite for realizing a multi-sensor perception and localization system for intelligent vehicles.

In the face of the most commonly used sensors such as IMU (inertial measurement unit), GNSS (global navigation satellite system), lidar (light detection and ranging), camera, millimeter wave radar and wheel speedometer, how to convert them for a uniform spatial coordinate? How to ensure the accuracy of sensor measurement through calibration?

How does fusion perception in vehicle-road coordination solve challenges such as multi-view information fusion between vehicle and road, multi-modal data fusion, and time-space asynchrony?

At 20:00 on October 19 (Wednesday), Yan Guoxing, an algorithm engineer for intelligent transportation (platform) at Shanghai Artificial Intelligence Laboratory, will bring their practical sharing:

1. Sensor simulation and application

2. Introduction to OpenCalib, an open source project for sensor calibration

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4. Event partners

open source community

Kaiyuanshe, PerceptionX, OpenDILab, Datawhale, ShanghaiTech 4DV Lab

think tank

Jiuzhang Smart Driving

media

Heart of Autopilot

Live platform

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Origin blog.csdn.net/OpenDataLab/article/details/127385468