A review of motion planning for highway autonomous driving

L Claussmann, M Revilloud, D Gruyer… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …

The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems

R Krajewski, J Bock, L Kloeker… - 2018 21st international …, 2018 - ieeexplore.ieee.org
Scenario-based testing for the safety validation of highly automated vehicles is a promising
approach that is being examined in research and industry. This approach heavily relies on …

Looking at vehicles on the road: A survey of vision-based vehicle detection, tracking, and behavior analysis

S Sivaraman, MM Trivedi - IEEE transactions on intelligent …, 2013 - ieeexplore.ieee.org
This paper provides a review of the literature in on-road vision-based vehicle detection,
tracking, and behavior understanding. Over the past decade, vision-based surround …

Vehicle trajectory prediction based on motion model and maneuver recognition

A Houenou, P Bonnifait, V Cherfaoui… - 2013 IEEE/RSJ …, 2013 - ieeexplore.ieee.org
Predicting other traffic participants trajectories is a crucial task for an autonomous vehicle, in
order to avoid collisions on its planned trajectory. It is also necessary for many Advanced …

Personalized driver/vehicle lane change models for ADAS

VA Butakov, P Ioannou - IEEE Transactions on Vehicular …, 2014 - ieeexplore.ieee.org
Lane changes are stressful maneuvers for drivers, particularly during high-speed traffic
flows. Advanced driver-assistance systems (ADASs) aim to assist drivers during lane …

A driver steering model with personalized desired path generation

S Schnelle, J Wang, H Su… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
With the increase in driver assistance systems, driver models are becoming more important
to vehicle control, driving safety, and performance. To make these driver assistance systems …

A personalizable driver steering model capable of predicting driver behaviors in vehicle collision avoidance maneuvers

S Schnelle, J Wang, HJ Su… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In recent years, significant emphases and efforts have been placed on developing and
implementing advanced driver assistance systems (ADAS). These systems need to work …

Human drivers based active-passive model for automated lane change

QH Do, H Tehrani, S Mita, M Egawa… - IEEE Intelligent …, 2017 - ieeexplore.ieee.org
Lane change maneuver is a complicated maneuver, and incorrect maneuvering is an
important reason for expressway accidents and fatalities. In this scenario, automated lane …

Autonomous racing with multiple vehicles using a parallelized optimization with safety guarantee using control barrier functions

S He, J Zeng, K Sreenath - 2022 International conference on …, 2022 - ieeexplore.ieee.org
This paper presents a novel planning and control strategy for competing with multiple
vehicles in a car racing scenario. The proposed racing strategy switches between two …

Data-driven maneuver modeling using generative adversarial networks and variational autoencoders for safety validation of highly automated vehicles

R Krajewski, T Moers, D Nerger… - 2018 21st International …, 2018 - ieeexplore.ieee.org
Scenario-based validation is a promising approach for the safety validation of highly
automated driving systems. By modeling relevant driving scenarios, utilizing simulations and …