The robustly-safe automated driving system for enhanced active safety
Road safety is one of the major concerns for automated vehicles. In order for these vehicles
to interact safely and efficiently with the other road participants, the behavior of the …
to interact safely and efficiently with the other road participants, the behavior of the …
Enhancing Autonomous Vehicle Decision-Making at Intersections in Mixed-Autonomy Traffic: A Comparative Study Using an Explainable Classifier
The transition to fully autonomous roadways will include a long period of mixed-autonomy
traffic. Mixed-autonomy roadways pose a challenge for autonomous vehicles (AVs) which …
traffic. Mixed-autonomy roadways pose a challenge for autonomous vehicles (AVs) which …
Towards learning generalizable driving policies from restricted latent representations
Training intelligent agents that can drive autonomously in various urban and highway
scenarios has been a hot topic in the robotics society within the last decades. However, the …
scenarios has been a hot topic in the robotics society within the last decades. However, the …
A universal control scheme of human-like steering in multiple driving scenarios
To incorporate the inherent superiorities of an experienced, proficient driver, a human-like
control scheme for automated steering systems is proposed in this paper based on the …
control scheme for automated steering systems is proposed in this paper based on the …
Safe and feasible motion generation for autonomous driving via constrained policy net
Policy networks have great potential to learn sophisticated driving policy under complicated
interaction between human drivers. However, it is hard for policy networks to satisfy safety …
interaction between human drivers. However, it is hard for policy networks to satisfy safety …
Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction
J Lidard, H Pham, A Bachman, B Boateng… - arXiv preprint arXiv …, 2024 - arxiv.org
Tasks where robots must cooperate with humans, such as navigating around a cluttered
home or sorting everyday items, are challenging because they exhibit a wide range of valid …
home or sorting everyday items, are challenging because they exhibit a wide range of valid …
System and method for utilizing a temporal recurrent network for online action detection
(57) ABSTRACT A system and method for utilizing a temporal recurrent network for online
action detection that include receiving image data that is based on at least one image …
action detection that include receiving image data that is based on at least one image …
Driver behavior recognition and prediction
AL NARAYANAN, YT Chen - US Patent 10,860,873, 2020 - Google Patents
Driver behavior recognition or driver behavior prediction are described herein. A first image
sequence including image frames associated with a forward-facing image capture device of …
sequence including image frames associated with a forward-facing image capture device of …
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning
Autonomous vehicles (AVs) have the potential to prevent accidents caused by drivers' error
and reduce road traffic risks. Due to the nature of heavy vehicles, whose collisions cause …
and reduce road traffic risks. Due to the nature of heavy vehicles, whose collisions cause …
Investigations on Speed Planning Algorithm and Trajectory Tracking Control of Intersection Scenarios Without Traffic Signs
W Liang, H Xing - IEEE Access, 2023 - ieeexplore.ieee.org
Efficient intersection planning is one of the most challenging tasks for an autonomous
vehicle at present. The degree of response to other traffic participants and whether the path …
vehicle at present. The degree of response to other traffic participants and whether the path …