Lower Tail Light Learning-based Forward Vehicle Detection System Irrelevant to the Vehicle Types
نویسندگان
چکیده
منابع مشابه
Vehicle Detection at Night Based on Tail-Light Detection
Automated detection of vehicles in front can be used as a component of systems for forward collision avoidance and mitigation. When driving in dark conditions, vehicles in front are generally visible by their tail and brake lights. We present an algorithm that detects vehicles at night using a camera by searching for tail lights. Knowledge of colour, size, symmetry and position of rear facing v...
متن کاملVehicle Detection and Scale Adaptive Tracking Using Tail Light Segmentation
This paper proposes a vehicle detection and tracking system based on forward looking CCD camera. Vehicle tail light location information is employed to generate vehicle candidate, and tail light pair distance is used to adjust vehicle tracking window size. In vehicle detection step, it uses a back propagation neural network (BPNN) which is trained by Gabor feature set. BPNN verifies vehicle can...
متن کاملWeather-adapted Vehicle Detection for Forward Collision Warning System
A preceding vehicle detection method for forward collision warning system is proposed. The proposed method utilizes the horizontal and vertical edges instead of underneath shadow to detect preceding vehicles without being influenced by variant weather conditions. We first extract horizontal edges and then check the vertical edges above horizontal edges to confirm the location of a horizontal ed...
متن کاملA Vision based Vehicle Detection System
In recent years, automotive manufacturers have equipped their vehicles with innovative Advanced Driver Assistance Systems (ADAS) to ease driving and avoid dangerous situations, such as unintended lane departures or collisions with other road users, like vehicles and pedestrians. To this end, ADAS at the cutting edge are equipped with cameras to sense the vehicle surrounding. This research work ...
متن کاملApplying the Mahalanobis-Taguchi System to Vehicle Ride
The Mahalanobis Taguchi System is a diagnosis and forecasting method for multivariate data. Mahalanobis distance is a measure based on correlations between the variables and different patterns that can be identified and analyzed with respect to a base or reference group. The Mahalanobis Taguchi System is of interest because of its reported accuracy in forecasting small, correlated data sets. Th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Broadcast Engineering
سال: 2016
ISSN: 1226-7953
DOI: 10.5909/jbe.2016.21.4.609