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Addressing Automotive, Sensor Fusion and Algorithm Performance Challenges
Adam Taylor (Director, Adiuvo Engineering Training ltd)
Location: Engineering Theater
Date: Thursday, August 29
Time: 3:15pm - 4:00pm
Track: Sponsored Sessions, Engineering Theater
Format: Technical Session
Vault Recording: TBD
Audience Level: All
The automotive world is on an exciting journey, as vehicles implement increasing levels of autonomous capability. This journey brings with it several challenges including the need to integrate several different sensor modalities (Vision, RADAR, LIDAR etc.), interface with actuators e.g. braking and steering systems, achieve demanding processing deadlines while implementing complex algorithms and sensor fusion. These solutions must also be implemented in a manner which can achieve certification to the correct standards e.g. ISO26262.
Along with these functional and certification challenges the solution will also face other challenging constraints including Size, Weight and Power, Cost (SWaP-C).
This session will outline the challenges presented and introduce how heterogeneous system on chip devices which combine high performance processors with programmable logic can be used to address these challenges. Areas of discussion will include sensor and actuator interfacing, acceleration of algorithms, and addressing SWaP-C.