Mirko Meuter

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This paper presents a new application, the Exit Lane Assistant (ELA), based on a novel and robust vision-based classifier of lane boundary types. Using the knowledge that the exit lane is separated by a special lane boundary type from the other lanes, the intention of leaving the motorway can be recognized by classifying the type of the crossed lane(More)
In this paper a novel spline-based multi-lane detection and tracking system is proposed. Reliable lane detection and tracking is an important component of lane departure warning systems, lane keeping support systems or lane change assistance systems. The major novelty of the proposed approach is the usage of the so-called Catmull-Rom spline in combination(More)
In this paper, a new robust approach for camera based lane recognition is presented. The tracking filter and the detection interact such that the tracking filter is used to place a region of interest for a detection of lane segments in various distances, and each successful detection is used to update the lane geometry in the tracking filter. A novel and(More)
A novel approach for a decision fusion and reasoning system for vision-based traffic sign recognition is presented. This module consists of several steps. In the first stage, a track-based Bayesian fusion scheme is used to fuse the classification results from each frame to obtain a fusion result for each track to decide whether a sign is present, as well as(More)
This paper presents a novel approach for an online initial camera calibration to estimate the extrinsic parameters for vision-based intelligent driver assistance systems. The method uses the periodicity of dashed lane markings and velocity information to determine the extrinsic camera parameters: height, pitch and roll angle. A lane marking detector is(More)
Trained detectors are the most popular algorithms for the detection of vehicles or pedestrians in video sequences. To speed up the processing time the trained stages build a cascade of classifiers. Thereby the classifiers become more powerful from stage to stage. The most popular classifier for real-time applications is Adaboost applied to rectangular(More)
In this paper a method for Road Boundary Detection and Tracking on monochrome camera images is presented. Using this approach, it is possible to recognize road boundaries in areas without lane markings. To describe the shape of the boundary a clothoid road model is used. The parameters of this model are estimated and tracked by a Particle Filter. The(More)
This paper presents an automotive video and radar data fusion framework that can be used as a preliminary stage of an automatic cruise control or collision mitigation by braking system. The fusion framework finds the optimal assignment of radar and camera target reports and provides improved state estimates for the fused targets. A sophisticated critical(More)
This paper focuses on dynamic orientation estimation of a vehicle-mounted mono camera. In particular, the pitch and roll angles of the camera relative to the road surface. Information about the orientation angles is included in the homography (projective transformation) between two images of a planar road surface. The extraction of angles from a homography(More)
In the lane marking perception domain, the trend goes to the direction to observe the courses of all lane markings present in an image. Conventional lane tracking systems usually track lane markings under the assumption, that they are parallel. While this model constraint can help to increase the robustness of the system in many situations, it will lead to(More)