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1
Intro
2
Automotive Areas
3
Autonomous Systems
4
The autonomous vehicles data problem
5
SAE levels
6
Simulation systems
7
Simulation workflow
8
How can Unity help AV development
9
Asset Store
10
Strengthening AV support
11
Sample scenes, sensors, shaders
12
Unity ML Agents Workflow
13
Unity ML Agents: Imitation Learning
14
Strong ecosystem
15
Vision Zero
16
Autonomy & ADAS
17
Highway
18
Edge cases
19
Case study
20
Pedestrians
21
Object Entropy
22
Environment entropy
23
Thermal entropy
24
Dataset generation
25
Tip of the iceberg
Description:
Explore the world of autonomous vehicle training in this 46-minute conference talk from Unite Berlin 2018. Discover how CVEDIA leverages Unity to create dynamic environments for simulation requirements, pushing the boundaries of modern simulation and modeling. Delve into the challenges faced, innovative techniques developed, and cutting-edge sensor simulations. Learn about automotive areas, autonomous systems, and the data problem in autonomous vehicles. Understand SAE levels, simulation systems, and workflows. Gain insights into Unity's role in AV development, including Asset Store resources, strengthening AV support, and sample scenes with sensors and shaders. Explore the Unity ML Agents workflow and imitation learning. Examine the Vision Zero concept, autonomy, and ADAS applications in highway scenarios and edge cases. Investigate pedestrian interactions, object entropy, environment entropy, and thermal entropy. Uncover the complexities of dataset generation and realize that this is just the tip of the iceberg in autonomous vehicle training. Read more

Building Environments for Autonomous Vehicle Training

Unity
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