Gaurav Adke

He is currently working as a Senior Manager, Data Science at Michelin India Pvt Ltd. He works on applied AI research for industrial applications. His main areas of work are automated process control using Deep Reinforcement learning, the use of generative models for augmentation of low image count datasets and the use of machine learning models and computer vision for road safety analysis. Gaurav is an M.Tech. from IIT Bombay in Thermal and Fluid Engineering (Mechanical). He has over a decade of industry experience including his experience in the Data Science domain.

All Sessions by Gaurav Adke

DLDC 2023

May 27, 2023
11:10

Using deep learning for decoding of CAN bus data in vehicle analysis

11:10 - 11:40

Modern vehicles have lots of signals to collect data like engine rpm, vehicle speed, odometer etc. They use ECU and CAN protocol to communicate and store the data. This data is absolutely vital to analyze and diagnose vehicle performance. Generally, OEMs do encode this data making it unreadable for technicians. Decoding this data is very difficult and time-consuming task. We have developed deep learning based technique for decoding the CAN bus data. It utilizes interpretive convolutions of data along with sequence model for classification. This model is trained to differentiate patterns of each signal and segregate correct signal type like mapping of different CAN ids to signals (vehicle speed, odometer, rpm etc.). We have also attempted to address the massive data imbalance problem for the CAN decoding task.

Gaurav Adke

All Sessions by Gaurav Adke

DLDC 2023

Using deep learning for decoding of CAN bus data in vehicle analysis

Don’t forget:

aug

24, 2024

Virtual

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