TechKnow 109: Tracking sharks & driverless cars

October 27, 2013 3:00PM ET

Underwater robots track California sharks, driverless car technology and predictive policing software

Topics:
Science
Technology
Environment

Join our expert contributors Phil Torres, Marita Davison, Kosta Grammatis and Crystal Dilworth as they explore new technology that impacts our lives. Marita goes swimming with sharks to see first-hand how a new underwater robot is tracking animal behavior in the ocean. Kosta tests cutting-edge driverless cars from Nissan and Google that may be widely available by 2020. And Crystal goes on patrol with police forces using advanced data to try to predict crime.

More on shark tracking and driverless cars

CSULB Shark Lab

The Shark Lab at the California State University at Long Beach is "dedicated to the study of the physiological and behavioral ecology of sharks, rays, and other economically important gamefishes." They use autonomous underwater vehicles (AUVs) to track leopard sharks and other animals off the coast of Southern California's Catalina Island.

Nissan

Nissan is currently prototyping the autonomous version of their electic LEAF, which can drive and park itself through the use of laser scanners, radar, and sonar technology. Their goal is to have driverless cars on the road by the year 2020.

Stanford University Automotive Innovation Facility

The Automotive Innovation Facility at Stanford University is a vehicle research facility that houses the Volkswagen Automotive Innovation Lab (VAIL). The facility provides research teams an opportunity to test new automotive concepts on real vehicles in a controlled environment. Professor Clifford Nass and his team are using the VAIL simulators to test human reaction time and other variables involved in the operation of driverless cars.

PredPol

PredPol predictive policing software uses a computer model for predicting earthquake aftershocks to analyze a city's crime statistics and pinpoint locations and times of high criminal activity. The software helps budget-strapped police departments maximize efficiency and productivity.

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