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@xiaoxq xiaoxq released this Jun 29, 2019 · 127 commits to master since this release

Apollo 5.0 is an effort to support volume production for Geo-Fenced Autonomous Driving. The car now has 360-degree visibility, along with upgraded perception deep learning model to handle the changing conditions of complex road scenarios, making the car more secure and aware. Scenario-based planning has been enhanced to support additional scenarios like pull over and crossing bare intersections.

Major Features And Improvements

  • Brand new Data Pipeline Service
    • Vehicle Calibration
  • New Perception algorithms
  • Sensor Calibration Service
  • Scenario - Based Planning with a new planning algorithm, Open Space Planner and new scenarios supported
    • Intersection - STOP Sign, Traffic Light, Bare Intersection
    • Park - Valet, Pull Over
  • Map Data Verification tool
  • Prediction Evaluators
  • Simulation web platform - Dreamland
    • Scenario Editor
    • Control-in-loop Simulation

Autonomous Drive Capabilities

Vehicles with this version can drive autonomously in complex urban road conditions including both residential and downtown areas. BE CAUTIOUS WHEN DRIVING AUTONOMOUSLY, ESPECIALLY AT NIGHT OR IN POOR VISION ENVIRONMENT. URBAN DRIVING INVOLVES NAVIGATING HIGH RISK ZONES LIKE SCHOOLS, PLEASE TEST APOLLO 5.0 WITH THE SUPPORT FROM APOLLO ENGINEERING TEAM, PLEASE AVOID DRIVING THE VEHICLE ON THE HIGHWAY OR AT SPEEDS THAT ARE ABOVE OUR SUPPORTED THRESHOLD.

Assets 2

@ycool ycool released this Jan 7, 2019 · 13303 commits to master since this release

Apollo 3.5 is capable of navigating through complex driving scenarios such as residential and downtown areas. With 360-degree visibility and upgraded perception algorithms to handle the changing conditions of urban roads, the car is more secure and aware.

Major Features And Improvements

  • Upgraded Sensor Suite
    • VLS-128 Line LiDAR
    • FPD-Link Cameras
    • Continental long-range radars
    • Apollo Extension Unit (AXU)
    • Additional IPC
  • Brand New Runtime Framework - Apollo Cyber RT which is specifically targeted towards autonomous driving
  • New Perception algorithms
  • Scenario - Based Planning with a new planning algorithm, Open Space Planner
  • New Localization algorithm
  • V2X Capabilities
  • Open Vehicle Certification platform - 2 new vehicles added GAC GE3 and GWM WEY VV6

Autonomous Drive Capabilities

Vehicles with this version can drive autonomously in complex urban road conditions including both residential and downtown areas. BE CAUTIOUS WHEN DRIVING AUTONOMOUSLY, ESPECIALLY AT NIGHT OR IN POOR VISION ENVIRONMENT. URBAN DRIVING INVOLVES NAVIGATING HIGH RISK ZONES LIKE SCHOOLS, PLEASE TEST APOLLO 3.5 WITH THE SUPPORT FROM APOLLO ENGINEERING TEAM.

Assets 3

@jinghaomiao jinghaomiao released this Jul 3, 2018 · 13303 commits to master since this release

Apollo 3.0 enables L4 product level solution that allows vehicles to drive in a closed venue setting at a low speed. Automakers can now leverage this one stop solution for autonomous driving without having to customize on their own.

Major Features And Improvements

  • New Safety module called Guardian
  • Enhanced Surveillance module - Monitor
  • Hardware service layer that will now act like a platform and not a product, giving developers the flexibility to integrate their own Hardware
  • Apollo Sensor Unit (ASU)
  • New Gatekeeper - Ultrasonic Sensor
  • Perception module changes:
    • CIPV detection/ Tailgating – moving within a single lane
    • Whole lane line support - bold line support for long range accuracy. There are 2 different types on installations for Camera, low and high installation.
    • Online pose estimation – determines angle change and estimates it when there are bumps or slopes to ensure that the sensors move with the car and the angle/pose changes accordingly
    • Visual localization – we now use camera for localization. This functionality is currently being tested.
    • Ultrasonic Sensor – Currently being tested as the final gatekeeper to be used in conjunction with Guardian for Automated Emergency brake and vertical/perpendicular parking.
Assets 2

@ycool ycool released this Apr 18, 2018 · 1498 commits to r2.5.0 since this release

This release allows the vehicle to autonomously run on geo-fenced highways. Vehicles are able to do lane keeping cruise and avoid collisions with the leading vehicles.

Major Features And Improvements

  • Upgrade MSF localization
  • Upgrade DreamView with more visualization features
  • Add HD map data collection tool
  • Add vision based perception with obstacle and lane mark detections
  • Add relative map to support ACC and lane keeping for planning and control
  • Make dockerfile available

Autonomous Drive Capabilities

Vehicles with this version can drive autonomously on highways at higher speed without HD map support. The highway needs to have clear white painted lane marks with minimum curvatures. The performance of vision based perception will degrade significantly at night or with strong light flares. BE CAUTIOUS WHEN DRIVING AUTONOMOUSLY, ESPECIALLY AT NIGHT OR IN POOR VISION ENVIRONMENT.

Assets 4

@ycool ycool released this Dec 30, 2017

Apollo 2.0 enables your vehicle to drive on simple urban roads autonomously. It is able to cruise, avoid collisions with obstacles, stop at traffic lights and change lanes.

Read our Release Note(https://github.com/ApolloAuto/apollo/blob/master/RELEASE.md) to learn more about major features and improvements. Open a new issue(https://github.com/ApolloAuto/apollo/issues) if you have questions and feedback. And of course, we always appreciate your contribution (https://github.com/ApolloAuto/apollo/blob/master/CONTRIBUTING.md).

You can get started with Apollo 2.0(https://github.com/ApolloAuto/apollo/archive/v2.0.0.tar.gz) today.

Assets 5

@ycool ycool released this Sep 19, 2017 · 13303 commits to master since this release

This release supports fixed lane cruise. New components include e2e, elo, map, routing, perception, prediction and planning.

Assets 5

@ycool ycool released this Jul 4, 2017 · 13303 commits to master since this release

Apollo has been initiated to provide an open, comprehensive, and reliable software platform for its partners in the automotive and autonomous-driving industries. Partners can use the Apollo software platform and the reference hardware that Apollo has certified as a template to customize in the development of their own autonomous vehicles.

Apollo 1.0.0, also referred to as the Automatic GPS Waypoint Following, works in an enclosed venue such as a test track or parking lot. It accurately replays a trajectory and the speed of that trajectory that a human driver has traveled in an enclosed, flat area on solid ground.

At this stage of development, Apollo 1.0 cannot perceive obstacles in close proximity, drive on public roads, or drive in areas without GPS signals.

Assets 3
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