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Confidential
Connected vehicle and Autonomous
driving concepts
Ihor Tanyenkov
Machine Learning architect
Confidential
• Autonomous driving
• Approaches
• Sensors
• Infrastructure
• V2X
Content
Confidential
The challenge
Confidential
The challenge
Confidential
The challenge
Confidential
How to ...
Confidential
The challenge
From software point of view
Sensors ActuatorsAD Framework
Imaging Sensors:
RGB cameras
LiDAR
Radar
RGB-D cameras
Infrastructure data
GPS/RTK
HD maps
V2X
communication
V2I
communication
Steering control
Acceleration
Breaking, etc
Confidential
The challenge
Cameras + Radar or LiDAR + HD maps
Confidential
The challenge
Cameras + LiDAR + IMU and Sensor fusion challenge
Confidential
The challenge
Lidar and IMU
11
Confidential
LIDAR Unspinning
(in global coordinate system)
1. Compensate Ego-vehicle motion.
2. Compensate moving object motion.
12
Confidential
LIDAR Unspinning
Developed components to solve the problem:
● Reflection filter,
● Ground filter,
● Object clusterer,
● Change detector,
● Ego motion compensator,
● Object associator,
● Motion compensator.
Confidential
The challenge
Cameras + LiDAR
Confidential
The challenge
Cameras + LiDAR
Confidential
The challenge
Cameras + LiDAR
Confidential
Still Not enough for Full
autonomy
Confidential
Telecom + Automotive
Cellular Vehicle-To-Everything (C-V2X) is a first step towards a fully integrated
intelligent transport system with 5G
Confidential
The challenge
Image from highway cam
Confidential
Example: automated detection and positioning
The Approach
Confidential
The Approach
Example: Motion flow (velocity & direction)
Confidential
The Approach
V2X over 5G network
Confidential
The Approach
Example: Sudden stop detection
Confidential
Worldwide C-V2X Trials (Sep 2018)

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