Trajectory prediction-based local spatio-temporal navigation map for autonomous driving in dynamic highway environments
M Fu, T Zhang, W Song, Y Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Autonomous driving, including intelligent decision-making and path planning, in dynamic
environments (like highway) is significantly more difficult than the navigation in static …
environments (like highway) is significantly more difficult than the navigation in static …
A taxonomy and review of algorithms for modeling and predicting human driver behavior
K Brown, K Driggs-Campbell… - arXiv preprint arXiv …, 2020 - arxiv.org
We present a review and taxonomy of 200 models from the literature on driver behavior
modeling. We begin by introducing a mathematical framework for describing the dynamics of …
modeling. We begin by introducing a mathematical framework for describing the dynamics of …
“Watch out!”: prediction-level intervention for automated driving
It seems that autonomous driving systems are substituting human responsibilities in the
driving task. However, this does not mean that vehicles should not interact with their driver …
driving task. However, this does not mean that vehicles should not interact with their driver …
Probabilistic prediction from planning perspective: Problem formulation, representation simplification and evaluation metric
Accurate probabilistic prediction for intention and motion of road users is a key prerequisite
to achieve safe and high-quality decision-making and motion planning for autonomous …
to achieve safe and high-quality decision-making and motion planning for autonomous …
A framework for probabilistic generic traffic scene prediction
In a given scenario, simultaneously and accurately predicting every possible interaction of
traffic participants is an important capability for autonomous vehicles. The majority of current …
traffic participants is an important capability for autonomous vehicles. The majority of current …
Generic probabilistic interactive situation recognition and prediction: From virtual to real
Accurate and robust recognition and prediction of traffic situation plays an important role in
autonomous driving, which is a prerequisite for risk assessment and effective decision …
autonomous driving, which is a prerequisite for risk assessment and effective decision …
VIENA: A driving anticipation dataset
Action anticipation is critical in scenarios where one needs to react before the action is
finalized. This is, for instance, the case in automated driving, where a car needs to, eg, avoid …
finalized. This is, for instance, the case in automated driving, where a car needs to, eg, avoid …
Interaction-aware intention estimation at roundabouts
Roundabouts have many benefits when compared with traditional signal-controlled
intersections: improve safety, reduce delay, improve traffic flow, are less expensive, and …
intersections: improve safety, reduce delay, improve traffic flow, are less expensive, and …
Towards a fatality-aware benchmark of probabilistic reaction prediction in highly interactive driving scenarios
In order to achieve safe and high-quality decision-making and motion planning, autonomous
vehicles should be able to generate accurate probabilistic predictions for uncertain behavior …
vehicles should be able to generate accurate probabilistic predictions for uncertain behavior …
Interaction-aware occupancy prediction of road vehicles
M Koschi, M Althoff - 2017 IEEE 20th International Conference …, 2017 - ieeexplore.ieee.org
A crucial capability of autonomous road vehicles is the ability to cope with the unknown
future behavior of surrounding traffic participants. This requires using non-deterministic …
future behavior of surrounding traffic participants. This requires using non-deterministic …