Apollo 10.0
自动驾驶开放平台
README

dreamview

Introduction

Dreamview or Apollo's HMI module provides a web application that helps developers visualize the output of other relevant autonomous driving modules, e.g. the vehicle's planning trajectory, car localization, chassis status etc.

Directory Structure

modules/dreamview
├── backend // dreamview backend implementation
├── BUILD
├── conf
├── cyberfile.xml
├── frontend // dreamview frontend implementation
├── launch
├── main.cc
├── proto
└── README.md

Input

Currently Dreamview monitors the following messages:

Output

A web-based dynamic 3D rendering of the monitored messages in a simulated world.

configs

file path type / struct Description
modules/dreamview/conf/camera_to_lidar_preprocess_table.pb.txt apollo::dreamview::PreprocessTable preprocess table
modules/dreamview/conf/data_collection_table.pb.txt apollo::dreamview::DataCollectionTable data collection table
modules/dreamview/conf/lidar_to_gnss_preprocess_table.pb.txt apollo::dreamview::PreprocessTable preprocess table
modules/dreamview/conf/hmi_modes apollo::dreamview::HMIMode HMI mode config
modules/dreamview/conf/dreamview.conf gflags gflags config

Flags

flagfile type Description
modules/dreamview/backend/common/dreamview_gflags.cc cc dreamview flags define
modules/dreamview/backend/common/dreamview_gflags.h h dreamview flags header

How to use

  1. Build apollo in source env or install dreamview and monitor package in package management env
  2. in source env:
    bash scripts/bootstrap.sh

in package management env:

aem bootstrap start

Related Paper

  1. Xu, J., Luo, Q., Xu, K., Xiao, X., Yu, S., Hu, J., Miao, J. and Wang, J., 2019, November. An Automated Learning-Based Procedure for Large-scale Vehicle Dynamics Modeling on Baidu Apollo Platform. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 5049-5056). IEEE.
  2. Jiang, S., Wang, Y., Lin, L., Lin, W., Cao, Y., Miao, J. and Luo, Q., 2020, November. DRF: A Framework for High-Accuracy Autonomous Driving Vehicle Modeling, arXiv preprint arXiv:2011.00646.

文档意见反馈

如果您在使用文档的过程中,遇到任何问题,请到我们在【开发者社区】建立的 反馈意见收集问答页面,反馈相关的问题。我们会根据反馈意见对文档进行迭代优化。