Machine vision based pedestrian detection and lane departure
Group Members:Sanket R. Borhade BE-E-16
Manthan N. Shah BE-G-65
Pravin D. Jadhav BE-E-41
• 41% of the total traffic accident casualties are
due to abnormal lane changing.
• More than 535 pedestrians die in road
accidents every year.
• Pune City has the highest rate of accidents
amongst 27 other cities in the India.
• Need for cost effective life saving tool.
• Easy to install in any locomotive.
• Video-based car navigation systems are
emerging as the next generation technology.
• Object information is gathered via cameras
and then, feature extraction is performed to
obtain edge, colour, object details.
• We are developing a system which comprises
Pedestrian Detection System(PDS) and Lane
Detection and Warning System(LDWS) for
Medium-Class Cars Worldwide.
Selected lane and position
Indicator on screen
1. A novel technique is used to recognize lane for a various road and
illumination, lane markings conditions such as damaged road surfaces blocked
by a car, shadow, backlights, etc.
2. The basic transform used will be HOUGH transform along with the
segmentation of image concept to detect the lanes without any errors or
Highest-Performance Floating Point DSP
Advanced Very Long Instruction Word (VLIW)
TMS320c76x DSP Core
32-Bit External Memory Interface
o CMOS Camera
o IR Camera
o Speed Sensor
Combination of both LDW and PD systems
Improved speed and detection rate
Low False Rate
Intended for low cost applications
Vehicle Driver Assistance Systems