Reference number : GC-2017-Q3-00665, amendment number : , agreement type : G, recipient legal name : Mirabbasi, Shahriar (The University of British Columbia), recipient country : CA, recipient province : nan, recipient city : British Columbia|Colombie-Britannique, recipient postal code : nan, program name english : Idea to Innovation, program name french : De l'idée à l'innovation, program purpose english : Modern automobiles possess an incredible amount of technology, offering advanced monitoring and active_x000D_
systems to improve safety and convenience, including lane departure warning, blind spot monitoring, dynamic_x000D_
cruise control and automated parking. The next major advance in automobiles is expected to be self-driving_x000D_
(i.e., car drives itself with human supervision) and autonomous (i.e., cars drives itself with no human_x000D_
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 > 500k_x000D_
cars/year in the United States alone by 2025. Autonomous vehicles (AVs) require a lot of sophisticated sensors_x000D_
to manage the many functions involved in the complicated task of driving. Common is an image sensor_x000D_
(similar to those used in standard cameras) to provide information for object identification, colour, edge_x000D_
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 has_x000D_
developed a new complementary metal-oxide-semiconductor (CMOS) image sensor (CIS) that provides_x000D_
important benefits over current image sensors and provides 3D information. Our smart CIS enables an_x000D_
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 a_x000D_
professional and detailed market assessment of the potential of using UBC technology in the automotive and_x000D_
autonomous vehicle market., program purpose french : Modern automobiles possess an incredible amount of technology, offering advanced monitoring and active_x000D_
systems to improve safety and convenience, including lane departure warning, blind spot monitoring, dynamic_x000D_
cruise control and automated parking. The next major advance in automobiles is expected to be self-driving_x000D_
(i.e., car drives itself with human supervision) and autonomous (i.e., cars drives itself with no human_x000D_
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 > 500k_x000D_
cars/year in the United States alone by 2025. Autonomous vehicles (AVs) require a lot of sophisticated sensors_x000D_
to manage the many functions involved in the complicated task of driving. Common is an image sensor_x000D_
(similar to those used in standard cameras) to provide information for object identification, colour, edge_x000D_
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 has_x000D_
developed a new complementary metal-oxide-semiconductor (CMOS) image sensor (CIS) that provides_x000D_
important benefits over current image sensors and provides 3D information. Our smart CIS enables an_x000D_
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 a_x000D_
professional and detailed market assessment of the potential of using UBC technology in the automotive and_x000D_
autonomous vehicle market., agreement title english : A new image sensor for the automotive and autonomous vehicle market, agreement title french : A new image sensor for the automotive and autonomous vehicle market, agreement number : I2IPJ, agreement value : 15000.0, agreement start date : 2017-12-13, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada