CONNECTING AUTONOMY
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We provide connected, safe autonomous-ready vehicles to
mobility fleets using XenOS, an autonomous operating system
What’s the biggest problem?
There is already a shortage of safe, connected vehicles for autonomous robo-taxi fleets
This is only going to get far worse as the market moves from R&D to commercialisation
We provide safe implementation of mobility applications (including self-driving software
stacks) onto Autonomous Vehicles
(A bit like Android does for mobiles!)
StreetDrone XenOS
Applications
Introducing StreetDrone XenOS
StreetDrone XenOS
AIMobility Apps
Self-DrivingSoftware
We engineer our intelligent connectivity platform, StreetDrone XenOS, into each StreetDrone Vehicle.
XenOS intelligently connects the autonomous mobility world together, making it much
simpler and cost effective for vehicles to safely run software solutions across different
vehicle makes and models and to become part of autonomous fleet solutions.
XenOS provides 2-way communication between AI / App to the vehicles
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Example Customer:
Wayve.AI
Using our vehicles to test and validate their tech both on and off public highway
https://www.youtube.com/watch?v=eRwTbRtnT1I&t=3s
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Example Customer:
Wayve.AI
Public Highway Testing in a DFT compliant vehicle
https://www.youtube.com/watch?v=eRwTbRtnT1I&t=3s
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Autoware Foundation
Founding Member
StreetDrone Twizy -reference vehicle
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Open source software to develop self-driving platforms for ADAS
NVIDIA® DriveWorks SDK comma.ai
openpilot
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• ROS-Based open source software:Enabling self-driving mobility to be deployed in open city areas
• Includes and supports the ROS-Tools:Rqt, RViz, Gazebo sim
• Collection of ROS Nodes:Localization – 3D maps and SLAM algorithms using GNSS/IMU information
Detection – Cameras and/or LiDAR with sensor fusion and DNN
Planning – Probabilistic robotics and rule-based systems
Control – PID and MPC (often adopted)
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• HD map service:
Backed by Baidu’s big data and deep learning tech, as well as a vast
collection of real world labeled driving data.
• Autonomous Driving simulation engine:
Virtual driving using an array of real world traffic and autonomous driving
data. Provides access to a large number of autonomous driving scenes.
• End-to-End, a deep learning algorithm:
An end-to-end autonomous solution. Horizontal and latitude driving
models are based on deep learning.
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• Software Development Kit (SDK):Includes a run-time pipeline framework going from detection to localization to planning to visualization. Available as part of the NVIDIA DRIVE Software
• Libraries for:Detection, Localization, Planning and Visualization
• Tools:Sensor calibration, rig calibration, camera & lidar parameters configuration
NVIDIA® DriveWorks SDK
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• Open source driving agent:Controls gas, brake, steering on certain vehicles, reaching up to 6 mins with no user action required.
• Openpilot uses the vehicle’s CAN Bus:Either NEO or panda as its CAN Interface. Panda OBD-II Dongle gives full access to the vehicle’s messages over WiFiand USB
Commaai/openpilot
What do we provide?
Vehicle Manufacturers
● “Open” and safe autonomous-ready interfaces to vehicles, allowing access to
untapped demand from new mobility fleets (e.g. RoboTaxis)
Fleet Operators
● Access to safe, autonomous-ready vehicles for connection to mobility
applications such as ridesharing, e-hailing, fleet management and more
Research and Development
● Safe autonomous-ready vehicles with built in sensor suite for testing and
validation of AI, software, algorithms
● Reference Vehicles for open source self-driving stack, Autoware
● Open architecture vehicles to test centres such as Millbrook Proving Ground
Further information
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Find out how the StreetDrone Twizy can help your
self-driving programme development:
www.streetdrone.com
@StreetDrone
/StreetDroneAV
/StreetDrone
@streetdrone.av