Survey on scenario-based safety assessment of automated vehicles
S Riedmaier, T Ponn, D Ludwig, B Schick… - IEEE …, 2020 - ieeexplore.ieee.org
When will automated vehicles come onto the market? This question has puzzled the
automotive industry and society for years. The technology and its implementation have …
automotive industry and society for years. The technology and its implementation have …
Finding critical scenarios for automated driving systems: A systematic mapping study
Scenario-based approaches have been receiving a huge amount of attention in research
and engineering of automated driving systems. Due to the complexity and uncertainty of the …
and engineering of automated driving systems. Due to the complexity and uncertainty of the …
A survey on automated driving system testing: Landscapes and trends
Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …
the efforts from both academia and industry. A typical ADS is composed of multiple modules …
Finding critical scenarios for automated driving systems: A systematic literature review
Scenario-based approaches have been receiving a huge amount of attention in research
and engineering of automated driving systems. Due to the complexity and uncertainty of the …
and engineering of automated driving systems. Due to the complexity and uncertainty of the …
Comprehensive safety evaluation of highly automated vehicles at the roundabout scenario
A highly automated vehicle (HAV) is a safety-critical system. Therefore, a verification and
validation (V&V) process that rigorously evaluates the safety of HAVs is necessary before …
validation (V&V) process that rigorously evaluates the safety of HAVs is necessary before …
Stochastic pedestrian avoidance for autonomous vehicles using hybrid reinforcement learning
Ensuring the safety of pedestrians is essential and challenging when autonomous vehicles
are involved. Classical pedestrian avoidance strategies cannot handle uncertainty, and …
are involved. Classical pedestrian avoidance strategies cannot handle uncertainty, and …
Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples
Data subsampling has become widely recognized as a tool to overcome computational and
economic bottlenecks in analyzing massive datasets. We contribute to the development of …
economic bottlenecks in analyzing massive datasets. We contribute to the development of …
An interaction-aware evaluation method for highly automated vehicles
It is important to build a rigorous verification and validation (V&V) process to evaluate the
safety of highly automated vehicles (HAVs) before their wide deployment on public roads. In …
safety of highly automated vehicles (HAVs) before their wide deployment on public roads. In …
Risk assessment for connected vehicles under stealthy attacks on vehicle-to-vehicle networks
Cooperative Adaptive Cruise Control (CACC) is an autonomous vehicle-following
technology that allows groups of vehicles on the highway to form in tightly-coupled platoons …
technology that allows groups of vehicles on the highway to form in tightly-coupled platoons …
Particle filtering supported probability density estimation of mobility patterns
This paper presents a methodology that aims to enhance the accuracy of probability density
estimation in mobility pattern analysis by integrating prior knowledge of system dynamics …
estimation in mobility pattern analysis by integrating prior knowledge of system dynamics …