Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks
Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for
contextual information extraction and decision making. Beyond modeling advances, the …
contextual information extraction and decision making. Beyond modeling advances, the …
Map-guided curriculum domain adaptation and uncertainty-aware evaluation for semantic nighttime image segmentation
We address the problem of semantic nighttime image segmentation and improve the state-of-
the-art, by adapting daytime models to nighttime without using nighttime annotations …
the-art, by adapting daytime models to nighttime without using nighttime annotations …
Parallel planning: A new motion planning framework for autonomous driving
Motion planning is one of the most significant technologies for autonomous driving. To make
motion planning models able to learn from the environment and to deal with emergency …
motion planning models able to learn from the environment and to deal with emergency …
Grid-based environment estimation using evidential mapping and particle tracking
S Steyer, G Tanzmeister… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Modeling and estimating the current local environment by processing sensor measurement
data is essential for intelligent vehicles. Static obstacles, dynamic objects, and free space …
data is essential for intelligent vehicles. Static obstacles, dynamic objects, and free space …
Bayesian environment representation, prediction, and criticality assessment for driver assistance systems
M Schreier - at-Automatisierungstechnik, 2017 - degruyter.com
The dissertation approaches the questions i) how to represent the driving environment in an
environment model, ii) how to obtain such a representation, and iii) how to predict the traffic …
environment model, ii) how to obtain such a representation, and iii) how to predict the traffic …
Recent developments on drivable area estimation: a survey and a functional analysis
Most advanced autonomous driving systems (ADS) today rely on the prior creation of high-
definition maps (HD maps). This process is expensive and needs to be performed frequently …
definition maps (HD maps). This process is expensive and needs to be performed frequently …
Dynamic environment prediction in urban scenes using recurrent representation learning
M Itkina, K Driggs-Campbell… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
A key challenge for autonomous driving is safe trajectory planning in cluttered, urban
environments with dynamic obstacles, such as pedestrians, bicyclists, and other vehicles. A …
environments with dynamic obstacles, such as pedestrians, bicyclists, and other vehicles. A …
[HTML][HTML] An evidential approach to SLAM, path planning, and active exploration
Probability theory has become the standard framework in the field of mobile robotics
because of the inherent uncertainty associated with sensing and acting. In this paper, we …
because of the inherent uncertainty associated with sensing and acting. In this paper, we …
[图书][B] Object-level fusion for surround environment perception in automated driving applications
M Aeberhard - 2017 - eldorado.tu-dortmund.de
Driver assistance systems have increasingly relied on more sensors for new functions. As
advanced driver assistance system continue to improve towards automated driving, new …
advanced driver assistance system continue to improve towards automated driving, new …
Dual occupancy and knowledge maps management for optimal traversability risk analysis
M Benrabah, E Randriamiarintsoa… - 2023 26th …, 2023 - ieeexplore.ieee.org
In a context of autonomous driving, perception of the surrounding is a crucial task. It
characterizes the vehicle's ability to simultaneously model its surroundings accurately and …
characterizes the vehicle's ability to simultaneously model its surroundings accurately and …