Motion planning for autonomous driving: The state of the art and future perspectives
Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …
convenience, safety advantages, and potential commercial value. Despite predictions of …
Towards vehicle-to-everything autonomous driving: A survey on collaborative perception
Vehicle-to-everything (V2X) autonomous driving opens up a promising direction for
developing a new generation of intelligent transportation systems. Collaborative perception …
developing a new generation of intelligent transportation systems. Collaborative perception …
Openlane-v2: A topology reasoning benchmark for unified 3d hd mapping
Accurately depicting the complex traffic scene is a vital component for autonomous vehicles
to execute correct judgments. However, existing benchmarks tend to oversimplify the scene …
to execute correct judgments. However, existing benchmarks tend to oversimplify the scene …
ROAD-R: the autonomous driving dataset with logical requirements
Neural networks have proven to be very powerful at computer vision tasks. However, they
often exhibit unexpected behaviors, acting against background knowledge about the …
often exhibit unexpected behaviors, acting against background knowledge about the …
A survey on datasets for the decision making of autonomous vehicles
Autonomous vehicles (AVs) are expected to reshape future transportation systems, and
decision making is one of the critical modules toward high-level automated driving. To …
decision making is one of the critical modules toward high-level automated driving. To …
A geospatial platform to manage large-scale individual mobility for an urban digital twin platform
A Lee, KW Lee, KH Kim, SW Shin - Remote Sensing, 2022 - mdpi.com
Urban digital twin (UDT) technology can be used to digitize physical urban spaces. Previous
UDT or smart city research reconstructed the three-dimensional topography of urban …
UDT or smart city research reconstructed the three-dimensional topography of urban …
Action-slot: Visual action-centric representations for multi-label atomic activity recognition in traffic scenes
In this paper we study multi-label atomic activity recognition. Despite the notable progress in
action recognition it is still challenging to recognize atomic activities due to a deficiency in …
action recognition it is still challenging to recognize atomic activities due to a deficiency in …
A survey on autonomous driving datasets: Data statistic, annotation, and outlook
Autonomous driving has rapidly developed and shown promising performance with recent
advances in hardware and deep learning methods. High-quality datasets are fundamental …
advances in hardware and deep learning methods. High-quality datasets are fundamental …
A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook
Autonomous driving has rapidly developed and shown promising performance due to recent
advances in hardware and deep learning techniques. High-quality datasets are fundamental …
advances in hardware and deep learning techniques. High-quality datasets are fundamental …
Categorized review of drive simulators and driver behavior analysis focusing on ACT-R architecture in autonomous vehicles
M Cina, AB Rad - Sustainable Energy Technologies and Assessments, 2023 - Elsevier
Driving a vehicle in a safe manner is a highly specialized task that depends on the driver's
cognitive ability, skills, attention, fast processing, interpretation of traffic situations and rules …
cognitive ability, skills, attention, fast processing, interpretation of traffic situations and rules …