Camera and Vision based ADAS solutions

Camera and Vision based ADAS applications such as traffic sign recognition, pedestrian detection, and lane departure warning systems are rapidly becoming mainstream in automotive industry, due to the added safety provided by camera based systems. However, embedding Vision based ADAS solutions is riddled with numerous challenges pertaining to computational performance, cost-efficiency, accuracy & reliability. PathPartner, with over a decade of experience on various components of vision based ADAS system architecture – camera and imaging, computer vision algorithms based on deep neural networks, real-time embedded processing on various auto grade platforms and functional safety based on ISO26262 standard- enables automotive OEMs and tier-1s to drive past these developmental challenges and bring reliable ADAS solutions to market. The video showcases our capabilities in developing camera and vision based ADAS applications along with a demonstration of a traffic sign recognition use-case.

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