Abstract
Vision-based active safety and driver assistance systems, such as lane departure warning (LDW) system, have increasingly gained popularity in automotive applications due to their fairly good performance at relatively low cost. Lane detection is a very complicated and time-consuming process and the potential time delay resulting from current image capturing and image processing can potentially impact the performance of the system. The LDW system as discussed in this report may consequently produce a value of time-to-lane-crossing (TLC), which can lead to false alarm or warning at inappropriate time to driver. This paper presents a theoretical method that dynamically compensates the time delay, and thus, enhances the potential the TLC calculation can reduce false alarms. Simulation results show that under the test parameters, the proposed theoretical method can be more effective in computing a TLC by compensating for the excessive time delay. The approach will be further evaluated and tested in the continued work with consideration of a higher-fidelity vehicle dynamics model and a variety of lane models.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
