FEB 13, 2019 3:19 PM PST

Teaching Self-Driving Cars To Predict Human Movement

WRITTEN BY: Nouran Amin

Researchers at the University of Michigan have collected data by vehicles through cameras, LiDAR and GPS—which allowed them to capture video snippets of humans in motion and then recreate it in 3D computer simulations. Specifically, they are teaching self-driving cars to recognize and predict pedestrian movements accurately than other current technologies.

"Prior work in this area has typically only looked at still images. It wasn't really concerned with how people move in three dimensions," said Ram Vasudevan, U-M assistant professor of mechanical engineering. "But if these vehicles are going to operate and interact in the real world, we need to make sure our predictions of where a pedestrian is going doesn't coincide with where the vehicle is going next."

Gearing vehicles with necessary predictive power requires technology that digs into the very minute details of human interactions and movement including the pace of a human's gait (periodicity), the mirror symmetry of limbs, and foot placement.

"Now, we're training the system to recognize motion and making predictions of not just one single thing -- whether it's a stop sign or not -- but where that pedestrian's body will be at the next step and the next and the next," said Matthew Johnson-Roberson, associate professor in U-M's Department of Naval Architecture and Marine Engineering.

Current machine learning uses autonomous technology dealing with two dimensions—still photos. But, the new “biomechanically inspired recurrent neural network" utilizing video clips that catalogs human movements to predict poses and future locations for one of several pedestrians from up to 50 yards on the scale of a city intersection.

"If a pedestrian is playing with their phone, you know they're distracted," Vasudevan said. "Their pose and where they're looking is telling you a lot about their level of attentiveness. It's also telling you a lot about what they're capable of doing next."

Source: Science Daily

About the Author
  • Nouran earned her BS and MS in Biology at IUPUI and currently shares her love of science by teaching. She enjoys writing on various topics as well including science & medicine, global health, and conservation biology. She hopes through her writing she can make science more engaging and communicable to the general public.
You May Also Like
SEP 23, 2020
Technology
A Computer That Can Map Out Your Thoughts?
SEP 23, 2020
A Computer That Can Map Out Your Thoughts?
Almost sounds like science fiction, but researchers at the University of Helsinki are working on creating images based o ...
NOV 06, 2020
Chemistry & Physics
The Most Powerful X-ray Source On Earth
NOV 06, 2020
The Most Powerful X-ray Source On Earth
Located inside the Sandia National Laboratories in Albuquerque, New Mexico, the Z Pulsed Power Facility (or Z Machine) i ...
NOV 27, 2020
Clinical & Molecular DX
From Months to Hours - Digital Tools Accelerate Dermatological Diagnoses
NOV 27, 2020
From Months to Hours - Digital Tools Accelerate Dermatological Diagnoses
Getting that nasty rash tested isn’t always a straightforward process. Dermatologists have notoriously long waitli ...
DEC 08, 2020
Genetics & Genomics
Advancing Genetic Sequencing with Better Computational Tools
DEC 08, 2020
Advancing Genetic Sequencing with Better Computational Tools
The many advances that have propelled the field of genetics forward have taken a tremendous amount of work in different ...
DEC 28, 2020
Technology
Internet Spread Affects Migration
DEC 28, 2020
Internet Spread Affects Migration
How is the spread of the internet changing migration? A recent study found a link between internet growth and migration ...
JAN 01, 2021
Technology
Harnessing The Power of Diamonds
JAN 01, 2021
Harnessing The Power of Diamonds
Harnessing the Power of Diamonds It is no secret that diamonds are the hardest material present in nature. Industrial ap ...
Loading Comments...