Project

Bundle adjustment using single-track vehicle model

This paper describes a method for estimating the 6-DoF viewing parameters of a calibrated vehicle-mounted camera. Visual features are combined with standard in-vehicle sensors and a single-track vehicle motion model in a bundle adjustment framework to

Pedestrian Detection using Augmented Training Data

Detecting pedestrians is a challenging and widely explored problem in computer vision. Many approaches rely on large quantities of manually labelled training data to learn a pedestrian classifier. To reduce the need for collecting and manually labelling

Reliable Vehicle Pose Estimation Using Vision and a Single-Track Model

This paper examines the problem of estimating vehicle position and direction, i.e., pose, from a single vehicle-mounted camera. A drawback of pose estimation using vision only is that it fails when image information is poor. Consequently, other

Verification of Collision Avoidance Systems using Reachability Analysis

This paper presents a method for formal verification of automotive collision avoidance systems. Using viability theory and reachability analysis, we define when the system should intervene, i.e. the unsafe set, and when the system should not intervene

Worst Case Analysis of Automotive Collision Avoidance Systems

Automotive Collision Avoidance (CA) systems help drivers to avoid collisions through autonomous interventions by braking or steering. If the decision to intervene is made too early, the intervention can become a nuisance to the driver and if the decision

Augmented reality methods for active safety applications

Benefit Estimation Model for Pedestrian Auto Brake Functionality

Accident data shows that the vast majority of pedestrian accidents involve a passenger car. A refined method for estimating the potential effectiveness of a technology designed to support the car driver in mitigating or avoiding pedestrian accidents is

On Performance Evaluation of Automotive Active Safety Systems

Road traffic accidents are a major global problem, annually causing over 1.2 million fatalities. To improve road safety, active safety systems support the driver by monitoring the vehicle and its surroundings, identifying hazardous situations and actively

On Worst Case Performance of Collision Avoidance Systems

Automotive Collision Avoidance and Mitigation (CA/CM) systems help drivers to avoid collisions through autonomous interventions by braking or steering. If the decision to intervene is made too early, the intervention can become a nuisance to the driver and

Performance Evaluation Method for Mobile Computer Vision Systems using Augmented Reality

This paper describes a framework which uses augmented reality for evaluating the performance of mobile computer vision systems. Computer vision systems use primarily image data to interpret the surrounding world, e.g to detect, classify and track objects

Sensitivity Analysis and Tuning for Active Safety Systems

Active safety systems utilize information about the vehicle’s state and possibly the surrounding environment to assist the driver if a traffic situation is considered hazardous. The decision to assist the driver is based on sensors that are more or less

Verification of collision avoidance functionality

The report introduces a general method for verification of Collision Avoidance Systems. The method is based on a principle called mileage multiplying, consisting of nine steps. By using this method it might be possible to significantly reduce the need for

Using Augmentation Techniques for Performance Evaluation in Automotive Safety

This chapter describes a framework which uses augmentation techniques for performance evaluation of mobile computer vision systems. Computer vision systems use primarily image data to interpret the surrounding world, e.g. to detect, classify and track