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Group Members:Sanket R. Borhade BE-E-16
Manthan N. Shah BE-G-65
Pravin D. Jadhav BE-E-41
Need Analysis
• 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.
Introduction
• 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.
Overview (LDWS)

Input image

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
flaws.
Overview
Overview (PDS)

• To achieve high detection speed
with good detection performance,
a Two-step framework method
was proposed.
System Block Diagram

Input image
from camera

Detection of
lane or
pedestrian

Indicating the
result by
means of
visuals or
audio
Camera
• Color Camera
Detection under normal /Day conditions
• IR Camera
Detection in night/ low light conditions
Lane Detection
• Segmentation
Increasing the detection Rate
• Hough Transform
Used for Classification
Pedestrian Detection
• 2 Step Method
Pedestrian Detection Contd.
• Haar like features
• Triangular Feature Set

• Edgelet
• Shapelet
Results
Hardware Details
o TMS302C6703
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
Advantages
•
•
•
•

Combination of both LDW and PD systems
Improved speed and detection rate
Low False Rate
Intended for low cost applications
Applications
•
•
•
•

Vehicle Driver Assistance Systems
Automated Surveillance
Military Application
Security
Thank you

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Machine vision based pedestrian detection and lane departure