Maximum acceptable risk as criterion for decision-making in autonomous vehicle trajectory planning
Autonomous vehicles are being developed to make road traffic safer in the future. The time
when autonomous vehicles are actually safe enough to be used in real traffic is a current …
when autonomous vehicles are actually safe enough to be used in real traffic is a current …
High-level decision making for automated highway driving via behavior cloning
Automated driving systems need to perform according to what human drivers expect in every
situation. A different behavior can be wrongly interpreted by other human drivers and cause …
situation. A different behavior can be wrongly interpreted by other human drivers and cause …
Towards a complete safety framework for longitudinal driving
Formal models for the safety validation of autonomous vehicles have become increasingly
important. To this end, we present a safety framework for longitudinal automated driving …
important. To this end, we present a safety framework for longitudinal automated driving …
Efficiency performance and safety evaluation of the responsibility-sensitive safety in freeway car-following scenarios using automated longitudinal controls
O Hassanin, X Wang, X Wu, X Xu - Accident Analysis & Prevention, 2022 - Elsevier
Abstract The Responsibility-Sensitive Safety (RSS) model was proposed by Mobileye as a
mathematical model that defines the real-time safety distance that the automated vehicle …
mathematical model that defines the real-time safety distance that the automated vehicle …
Decision-theoretic MPC: Motion Planning with Weighted Maneuver Preferences Under Uncertainty
Continuous optimization based motion planners require deciding on a maneuver homotopy
before optimizing the trajectory. Under uncertainty, maneuver intentions of other participants …
before optimizing the trajectory. Under uncertainty, maneuver intentions of other participants …
A parameter analysis on RSS in overtaking situations on german highways
As automated vehicles are expected to significantly reduce the number of fatalities in road
traffic, ensuring their safety is one of the most critical challenges in the industry today. The …
traffic, ensuring their safety is one of the most critical challenges in the industry today. The …
[HTML][HTML] Evaluation of false alarm alarms in truck FCW based on calibration of RSS model under different driving scenarios
Y Bao, X Wang, R Yu - International Journal of Transportation Science and …, 2024 - Elsevier
Advanced driver-assistance systems (ADASs), such as forward collision warning (FCW), are
widely used and, in some countries, have been made mandatory for commercial vehicles. In …
widely used and, in some countries, have been made mandatory for commercial vehicles. In …
Dilemma of Responsibility-Sensitive Safety in Longitudinal Mixed Autonomous Vehicles Flow: A Human-Driver-Error-Tolerant Driving Strategy
HS Qi - IEEE Open Journal of Intelligent Transportation …, 2024 - ieeexplore.ieee.org
The safety of autonomous vehicles (AVs) is a critical consideration for their widespread
adoption. Responsibility sensitive safety (RSS) is proposed to serve as a model checking …
adoption. Responsibility sensitive safety (RSS) is proposed to serve as a model checking …
Test-Driven Inverse Reinforcement Learning Using Scenario-Based Testing
Automated vehicles require carefully designed cost functions, which are challenging to
specify due to the complexity of the behavior they need to cover. Inverse reinforcement …
specify due to the complexity of the behavior they need to cover. Inverse reinforcement …
Online Safety Verification of Autonomous Driving Decision-Making Based on Dynamic Reachability Analysis
F Gao, C Luo, F Shi, X Chen, Z Gao, R Zhao - IEEE Access, 2023 - ieeexplore.ieee.org
Addressing decision safety in the unpredictable arena of complex traffic scenarios
represents a significant hurdle for autonomous driving systems. Considering the inherent …
represents a significant hurdle for autonomous driving systems. Considering the inherent …