Estimating driver's lane-change intent considering driving style and contextual traffic
X Li, W Wang, M Roetting - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
Estimating a driver's lane-change (LC) intent is very important so as to avoid traffic accidents
caused by improper LC maneuvers. This paper proposes a lane-change Bayesian network …
caused by improper LC maneuvers. This paper proposes a lane-change Bayesian network …
Scenario parameter generation method and scenario representativeness metric for scenario-based assessment of automated vehicles
The development of assessment methods for the performance of Automated Vehicles (AVs)
is essential to enable the deployment of automated driving technologies, due to the complex …
is essential to enable the deployment of automated driving technologies, due to the complex …
How much data are enough? A statistical approach with case study on longitudinal driving behavior
Big data has shown its uniquely powerful ability to reveal, model, and understand driver
behaviors. The amount of data affects the experiment cost and conclusions in the analysis …
behaviors. The amount of data affects the experiment cost and conclusions in the analysis …
Accelerated safety testing for highly automated vehicles: Application and capability comparison of surrogate models
With the gradual perfection of Highly Automated Vehicles (HAVs), it is obligatory to assess
their safety performance in simulation that mirrors the real-world driving environment …
their safety performance in simulation that mirrors the real-world driving environment …
Causalaf: Causal autoregressive flow for safety-critical driving scenario generation
Generating safety-critical scenarios, which are crucial yet difficult to collect, provides an
effective way to evaluate the robustness of autonomous driving systems. However, the …
effective way to evaluate the robustness of autonomous driving systems. However, the …
Automatic virtual test technology for intelligent driving systems considering both coverage and efficiency
F Gao, J Duan, Z Han, Y He - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
The testing of the intelligent driving systems is faced with the challenges of efficiency
because real traffic scenarios are infinite, uncontrollable and difficult to be precisely defined …
because real traffic scenarios are infinite, uncontrollable and difficult to be precisely defined …
A lane-changing risk profile analysis method based on time-series clustering
Lane-changing (LC) is an essential driving maneuver on roadways, and risky LC maneuvers
account for a large number of crash accidents. This study investigates the LC risk profile …
account for a large number of crash accidents. This study investigates the LC risk profile …
Dynamic testing for autonomous vehicles using random quasi monte carlo
The substantial resource usage required to create ample scenarios for testing Autonomous
Vehicles (AV) presents a bottleneck in their implementation. At present, research relies on …
Vehicles (AV) presents a bottleneck in their implementation. At present, research relies on …
Scenario factory: Creating safety-critical traffic scenarios for automated vehicles
The safety validation of motion planning algorithms for automated vehicles requires a large
amount of data for virtual testing. Currently, this data is often collected through real test …
amount of data for virtual testing. Currently, this data is often collected through real test …