Lane Endpoint Detection and Position Accuracy Evaluation for Sensor Fusion-Based Vehicle Localization on Highways

Intelligent Lane Reservation for Highways (Position Paper)

The only way to keep up with the ever-increasing number of cars on roads is through constant change and improvement in the transportation infrastructure. Construction of new roads is constrained by space and financial resources. Therefore, there is a need to devise ways to make optimal use of the existing infrastructure. In this position paper, we describe a lane reservation system for highways...

Sensor Fusion - Based Lane Detection for Lks + Acc System

Deep Learning Lane Detection for Autonomous Vehicle Localization

Autonomous vehicles for consumer use on public roadways are an active area of research and development by various academic and industry groups. One approach to this problem, taken by Google for example, involves creating a 3-D high-resolution map of the desired route, so the vehicle has full awareness of all static features of the route. When autonomously driving this route, the vehicle employs...

An Architecture for Fuzzy Sensor Validation and Fusion for Vehicle Following in Automated Highways

This paper describes a fuzzy logic based architecture for real time sensor validation and fusion for vehicle following tasks for automated highways. Automated highways and more generally “smart vehicles” rely heavily on sensor data for a variety of control purposes. High sensor data fidelity is of prime concern because human life is at stake. However, sensor data are always uncertain to some ex...

On-Road Vehicle and Lane Detection

We implement lane detection using edge detection, Hough transforms, and vanishing point filtering in Hough space; the car detection is implemented by using histogram of oriented gradients feature descriptors and classified by linear support vector machines. Hard-negative mining is applied to alleviate detection of false positives; with the information of vanishing point along with prior knowled...