Subventions et des contributions :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019).

Modern automobiles possess an incredible amount of technology, offering advanced monitoring and activex000D
systems to improve safety and convenience, including lane departure warning, blind spot monitoring, dynamicx000D
cruise control and automated parking. The next major advance in automobiles is expected to be self-drivingx000D
(i.e., car drives itself with human supervision) and autonomous (i.e., cars drives itself with no humanx000D
intervention) vehicles. While a limited number of self-driving cars are on the market now (e.g., certain Tesla &x000D
BMW models), autonomous consumer cars are not yet. However, forecasts suggest annual sales > 500kx000D
cars/year in the United States alone by 2025. Autonomous vehicles (AVs) require a lot of sophisticated sensorsx000D
to manage the many functions involved in the complicated task of driving. Common is an image sensorx000D
(similar to those used in standard cameras) to provide information for object identification, colour, edgex000D
detection, etc.; however these provide very little 3D data. 3D data is usually obtained using LIDAR systems,x000D
which are expensive and produce large data streams requiring costly on-board processing capabilities. UBC hasx000D
developed a new complementary metal-oxide-semiconductor (CMOS) image sensor (CIS) that providesx000D
important benefits over current image sensors and provides 3D information. Our smart CIS enables anx000D
integrated, on-chip computational imaging sensor solution that could compete in the automotive market,x000D
potentially bridging both the image and LIDAR sensor markets. The objective of this proposal is to conduct ax000D
professional and detailed market assessment of the potential of using UBC technology in the automotive andx000D
autonomous vehicle market.