Houcem presented his work in a technical symposium during UKC 2020.
Year: 2020
OSCAR Demo
The OSCAR is Open-Source Car Architecture for Research and education. This platform supports two vehicle models that are ready to be used in behavior cloning study.
Here are some demo videos.
The first one shows the fusion
drives by itself after training a Deep Neural Network in a different track.
The second one is an example of a ‘fusion’ controlled remotely.
The third one shows the rover
driven by a driving simulator that consists of a wheel with pedals and a gear shift.
The fourth video is a test mavros/setpoint_velocity/cmd_vel
.
DAIS 2020 Presentations
Sensorimotor Integration Learning for Autonomous Driving
By Mohamed Houssem Fehri
Latency Compensation in Autonomous Driving
By Sanjyot Thete
Autonomous Vehicle Research Platform
By Rohan Pradeepkumar Nair
PX4 Rover Demo
This video shows how to start a rover in PX4. The details will be published through my GitHub repository later.
Grant from IITP, Korea, 2020 – 2021
We have a new grant from the Institute for Information and Communications Technology Promotion (IITP) as a Korea-US International Joint Research Project. The project title is “Cooperative Perception and Navigation for Multiple Vehicles Using Deep Neural Network.” The project will complete by May 2021.
MIDAS Faculty Research Pitch
Roads for self-driving cars in Michigan
According to CNN’s recent report, there will be two roads between Ann Arbor and Detroit exclusively for self-driving cars. The roads will be roughly 40 miles long.
See more details at https://www.cnn.com/2020/08/13/cars/michigan-self-driving-road/index.html
ICRA 2020 Highlights
Self-Supervised Learning and World Models by LeCun
Why General AI will not be Realized
Artificial General Intelligence (AGI) vs. Artificial Narrow Intelligence (ANI)
Ego-motion in Self-Aware
Self-awareness in machines can lead to more autonomous machines and ultimately into machines with consciousness.
https://medium.com/intuitionmachine/ego-motion-in-self-aware-deep-learning-91457213cfc4