|
Market Opportunity
Demand for autonomous vehicles is expected to reach 29 million units by 2035. High-resolution detection and ranging technologies, such as LiDAR, are used in autonomous vehicles for remote sensing. Using LiDAR to create, steer, and detect high-resolution optical beams in free-space allows capturing real time 3D data for a diverse...
|
|
Building systems
HVAC controls
Heating and cooling
Abstract
USC researchers have designed a control system using a distributed approach with zones, combining adaptation and learning. The building is divided into different thermal zones, where each zone has its own controller. The main difference from current state of the art solutions is that the...
|
|
Advanced driver assistance systems
Autonomous vehicles
Abstract
USC researchers have developed a practical solution to address the challenges of autonomous vehicle navigation. Their proposed methodology incorporates geo-referenced maps that identify road geometries and detect objects in the vehicle's path. It considers the impact of sensor noise...
|
|
Market Opportunity
Separation processes are important for the chemical, pharmaceutical, petroleum, electronics, automotive, and aerospace industries, and efficient water reclamation technologies are increasingly needed due to drought, and water shortages. Current separation processes are often energy intensive and incur high operating costs. Membrane...
|
|
Abstract
Millions of abandoned oil and gas wells leak methane and harmful chemicals, threatening groundwater, fueling climate change, and creating regulatory headaches. Traditional cement plugs crack, shrink, and fail. Alternatives like bismuth and resin are pricey, tricky, and unreliable.
Benefit
A breakthrough cement composite plug engineered for...
|
|
Market Opportunity
Despite cleaner fuels and more efficient engines, a global rise in urban air pollution presents a significant health crisis. This escalating issue calls for innovative architectural solutions that can mitigate air pollution, thus creating a substantial opportunity for architects to develop structures that contribute to public health...
|
|
Security surveillance
Driving assistance systems
Smart home
Abstract
USC researchers introduce a three-level hierarchical association approach to track multiple objects in crowded environments using a single camera. At the low level, reliable tracklets are generated by linking detection responses with conservative affinity constraints. These tracklets...
|
|
Civil infrastructure inspection
Building inspection
Abstract
USC researchers introduce a vision-based crack detection methodology that processes 2D digital images by analyzing the scene's geometry. The methodology incorporates feature extraction and classification techniques to distinguish cracks from non-crack patterns. Experimental tests have...
|
|
Pavement condition assessment
Abstract
USC researchers have developed a cost-effective solution for autonomously assessing road-surface condition that utilizes an RGB color image and an infrared projector and camera for depth sensing. The system can autonomously detect and quantify various road conditions such as patching, cracks, and potholes, and...
|
|
Autonomous vehicles
Computer vision
Obstacle and pedestrian recognition
Abstract
USC researchers have developed a machine learning algorithm that is based on timed quality temporal logic, a form of model checking which measures the elapsed time between event occurrences. It matches objects in different frames and provides a unique ID for each individual...
|