search

UMD     This Site






Paul Chrisman Iribe Professor of Computer Science Dinesh Manocha was a keynote speaker at the Open Data Science Conference (ODSC), Oct. 29-Nov. 1 in San Francisco, California. Manocha, who is a faculty member of the Electrical and Computer Engineering Department, Computer Science Department, University of Maryland Institute for Advanced Computer Studies, and the Maryland Robotics Center, spoke on “Autonomous Driving: Simulation and Navigation.”

During his keynote, Manocha pointed out the open challenges in the emerging field of autonomous vehicles. He gave an overview of his recent work on simulation and navigation technologies for autonomous vehicles, and presented his work on autonomous simulators, AutonoVi-Sim and AADS, which uses recent developments in physics-based simulation, robot motion planning, game engines, data-driven and behavior modeling.

He also presented novel methods for interactive simulation of multiple vehicles with unique steering or acceleration limits taking into account vehicle dynamics constraints, and detailed techniques for navigation with non-vehicle traffic participants such as cyclists and pedestrians.

In an article published by Pulse News, Manocha noted that in the near future, autonomous vehicle technology will be mainly used in increasing the safety of all drivers and improving driving conditions, such as adding various sensors in the car that will improve driving safety considerably.

The ODSC conference is one of the world’s largest applied data science conference series that brings together the global data science community in an effort to encourage the exchange of innovative ideas and the growth of open source software.

More details on his research on autonomous driving is available at: http://gamma.umd.edu/ad



Related Articles:
RoadTrack algorithm could help autonomous vehicles navigate dense traffic scenarios
Workshop focuses on needs of autonomous agent networks
Forecasting traffic for autonomous vehicles
Add-on mechanism could increase safety for networked vehicles
Manocha keynote speaker at 2019 IEEE RO-MAN Conference
Advancing Healthcare through Robotics and Machine Learning
Manocha Named to 2019 ACM SIGGRAPH Academy
Machine Learning's Translational Medicine
Realistic simulator improves safety of self-driving vehicles before road testing
Do Good Robotics Symposium to explore technologies that benefit society and the planet

November 8, 2019


«Previous Story  

 

 

Current Headlines

In Race With Virus, Researchers Speed Development of Medical Equipment

GAMMA Group's Research on Emotional Modeling and Social Robotics Featured in Forbes

Srivastava wins NSF funding for integrated circuit fabrication security

Protection Collections Abound for Local Health Care Workers

New U.S. Patent: Integrated Onboard Chargers for Plug-In Vehicles

Public health planners: Free resources for emergency health clinics

Planning and learning algorithms developed for refinement acting engine

Clark School Engineers Create Solutions for a Crisis

COVID-19 Decision Making Gets a Big Data Boost

Researchers from Poland report results aided by UMD's AIM Lab

 
 
Back to top  
Home Clark School Home UMD Home