Title
Boot time optimization techniques for automotive rear view camera systems
Abstract
Upon engaging the reverse gear in the car, very first information driver needs to know, whether is it really safe to take the reverse? Blind spots in car that result in rear view obstruction make this difficult. Advanced Driver Assistance Systems (ADAS) equip drivers with an application - Rear View Camera Systems (RVCS) to resolve this. There are simple RVCS which just show the rear view on the display or intelligent ones that run Object Detection (OD) algorithms on the captured video and flash warnings for drivers. In both cases, the boot time of the system is very crucial for safety as well as overall user experience, it is always annoying to wait for system to boot up. In autonomous cars the OD result is considered to make decisions, so that's even more safety critical. In short, the challenge is not only to boot within few milliseconds but get entire application working within short time. Heavy initialization time of subsystems involved make it tricky to achieve this at application level. This paper focuses on optimization techniques applied to similar RVCS. Boot time less than 500 milliseconds can be achieved using these techniques. These are also scalable to all fast boot ADAS solutions trying to achieve stringent boot time goals in order to ensure safety and improvise on this subtle user experience.
Year
DOI
Venue
2016
10.1109/ICCE.2016.7430528
2016 IEEE International Conference on Consumer Electronics (ICCE)
Keywords
Field
DocType
boot time optimization techniques,automotive rear view camera systems,information driver,blind spots,advanced driver assistance systems,RVCS,object detection algorithms,OD algorithms,flash warnings,autonomous cars,decision making,fast boot ADAS solutions,user experience
User experience design,Computer science,Real-time computing,Artificial intelligence,Multi-core processor,Computer vision,Object detection,Synchronization,Advanced driver assistance systems,Initialization,Embedded system,Automotive industry,Scalability
Conference
Citations 
PageRank 
References 
1
0.43
0
Authors
3
Name
Order
Citations
PageRank
Yogesh Marathe110.43
Kedar Chitnis2173.69
Rishabh Garg310.43