Collaborative Research: CPS: Medium: An Online Learning Framework for Socially Emerging Mixed Mobility

Emerging mobility systems, e.g., connected and automated vehicles and shared mobility, provide the most intriguing opportunity for enabling users to better monitor transportation network conditions and make better decisions for improving safety and transportation efficiency. However, different levels of vehicle automation in the transportation network can significantly alter transportation efficiency metrics (travel times, energy, environmental […]

Lighting the Way Forward for Autonomous Vehicles

CISE Faculty Affiliate Ajay Joshi with collaborators at Lightmatter and Harvard University receive $4.8M IARPA grant to develop a new Electro-Photonic Computing (EPiC) system for  AI-based navigation in Autonomous Vehicles Anyone who has ever been behind the wheel of a car knows that response time is crucial. The human sensory system needs to be fully engaged in order […]

Electro-Photonic Computing (EPiC) for On-Premise Applications

Researchers from Boston University College of Engineering, the Harvard John A. Paulson School of Engineering and Applied Sciences, and photonic-computing developer Lightmatter are collaborating to develop an Electro-Photonic Computing (EPiC) solution for Autonomous Vehicles (AVs), solving one of the biggest hurdles AVs face today – delivering high performance, low latency computing power that is also […]

Cars that learn how to drive themselves by watching other cars

Self-driving cars are powered by machine learning algorithms that require vast amounts of driving data in order to function safely. But if self-driving cars could learn to drive in the same way that babies learn to walk—by watching and mimicking others around them—they would require far less compiled driving data. That idea is pushing Boston […]

Super Headlights: Superconducting Nanowire Detectors for Passive Infrared Sensing

CISE Faculty Affiliate Professor Vivek Goyal (ECE) received a Defense Advanced Research Projects Agency (DARPA) subaward for his work in connection with the agency’s Invisible Headlights program. Professor Goyal is working under an award to MIT entitled, “Super Headlights: Superconducting Nanowire Detectors for Passive Infrared Sensing.”  The DARPA Invisible Headlights program has a very ambitious […]

New Frontiers in Self-driving Cars

 Lidar, used in most self-driving cars, models the world around them by creating 3D representations of a scene in view. Photo by John D. SL/Shutterstock One of the most promising developments born out of the 2005 DARPA Grand Challenge was the use of lidar technology in self-driving cars, also known as autonomous vehicles (AVs).  […]

Collaborative Research: CIF: Small: Toward a Science of Vehicular Epidemiology: Computing, Control, and Security

Vehicle-to-everything communication is a transformational emerging technology that is poised to enhance transportation safety and traffic management, thereby saving lives and yielding major economic gains by alleviating traffic congestion. This technology will enable vehicles to communicate with each other, as well as with traffic signals, road side units, bikes, wheelchairs, and pedestrians to augment situational […]

Changing the Ways of Selfish Driving

Salomón Wollenstein-Betech (PhD candidate, SE)  develops dynamic, data-driven tools to estimate and optimize congested roadways Boston has the worst traffic in the nation, according to a new study released this week. As city traffic thickens, the quintessential need for a resolution to this problem arises. Boston University PhD candidate (Systems Engineering) Salomón Wollenstein-Betech has created a […]