Junko, the business model of Sensor Platforms (SP) is basically 'fix it in software' to deal with sensor out put challenges -noise, lack of linearity, combining and correlating sensed outputs between sensors (sensor fusion), etc. If I have to borrow a lexicon from the Cloud Computing space, what SP offers is a virtualized sensor. How ever, many multi-DOF (degrees of freedom) sensor vendors have been embedding program codes and/or offering free / open source versions -a direct threat to SP's business model.
More over, fixing it in software may not be the most optimum and energy efficient way to do things. But SP's advantage is one can build systems with sensors from multiple vendors and use SP's API to tie them together. How ever, iOS already has API's do this (don't know if that is better or worse than SP's); I imagine Android may have similar API's too.
SP's site still lists Ian Chen as one of the exec's.
Drones are, in essence, flying autonomous vehicles. Pros and cons surrounding drones today might well foreshadow the debate over the development of self-driving cars. In the context of a strongly regulated aviation industry, "self-flying" drones pose a fresh challenge. How safe is it to fly drones in different environments? Should drones be required for visual line of sight – as are piloted airplanes? Join EE Times' Junko Yoshida as she moderates a panel of drone experts.