At Auto.AI events, we focus on the many applications of artificial intelligence in the development of L4 and L5 autonomous vehicles. A big part of it is data collection and annotation. we.CONECT spoke with Doyle Chung, Head of Global Sales at AIMMO, who will be speaking and presenting AIMMO’s solution at the 6th Auto.AI Europe.
Watch our interview with Doyle in which he explains the difference between a model-centric and a data-centric approach to data training, AIMMO’s swift growth, and how it is different from other AI data solutions.
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Doyle Chung is presenting a solution study The Winning Strategy for Effective ODD Expansion through Data-Centric AI on September 29 at 3PM.
In this session, we help you to get valuable insights on how to generate and supply high-quality data throughout the entire development cycle of autonomous driving AI algorithm Based on high-quality and optimal data through a process based on the AIMMO proprietary toolchain (data collection-refinement-curation-annotation-inspection) and Data-Centric AI approach with developed with its own technology.
- Do you have any pains and problems regarding the extension of the safety scope such as unknown situations, incomplete sensing &ML/DL Algorithms?
- What strategy do you have to maximize the known intended scenarios in Area 1 (Safe/Known)?
- How to pre-process your raw data for refinement and de-identification to improve AD data cleansing?
- How do you deal with data curation issues to acquire critical / edge cases?
Auto.AI Europe is the leading technical event on deep learning for SAE Level 4 & 5 automated vehicles that brings together more than 300 top-industry machine learning, neural networks, and perception experts and decision-makers. Join now and discuss self-supervised and behavioral learning concepts, scalable machine and reinforcement learning approaches, and benchmarking perception and computer vision systems for ADs with your peers from the automotive AI community.
