Simulation environments and synthetic data generation for autonomous driving — CARLA, nuPlan, Waymax, IDSim and closed-loop evaluation methodologies.
Current research indicates that collaborative decision-making and control across several vehicles can markedly enhance traffic efficiency and driving safety.
Engineering 5.0 · Research 7.0 · Business 5.0
Reliable radar-based discrimination of pedestrians, cyclists, and vehicles is a core requirement for roadside safety monitoring and autonomous-driving perception, particularly under adverse lighting and weather where camera-only systems degrade.
Engineering 5.0 · Research 7.0 · Business 5.0
Abstract Driving interaction data are important for training and evaluating autonomous driving Vision-Language-Action (VLA) models, but existing datasets contain limited dense interaction samples and weak alignment between trajectories, visual inputs, and language annotations.
Engineering 5.5 · Research 7.0 · Business 7.0
To overcome this, we introduce SimBEV2X, an advanced synthetic data generation tool built on the CARLA simulator.
Engineering 7.0 · Research 8.0 · Business 5.5
To address this issue, A Search-Resampling-Enhanced Iterative Optimization (SREIO) framework is proposed in this paper.
Engineering 5.0 · Research 8.0 · Business 5.0
An autonomous driving research paper: Replication Package – "Human Perception of Ethics in Self-Driving Cars: An Empirical Study".
Engineering 5.0 · Research 7.0 · Business 5.0
Specifically, our research questions looked into the road DMs themselves, to analyse their properties (e.g.
Engineering 6.5 · Research 8.0 · Business 5.0
An autonomous driving research paper: # Artificial Intelligence Research Frontiers in Metallurgy: Digital Twins, Autonomous Laboratories, Quantum AI, and Sustainable Manufacturing ---.
Engineering 5.5 · Research 8.0 · Business 6.5
This paper proposes a neural-network-assisted model predictive controller for improving the path-tracking performance and lateral stability of autonomous vehicles on low-friction roads.
Engineering 5.0 · Research 7.0 · Business 5.0
Precise trajectory tracking holds significant importance for autonomous vehicle navigation.
Engineering 5.0 · Research 7.0 · Business 5.0
To address this issue, we propose a mobility-aware AoI minimization framework for CP that explicitly accounts for vehicles' dynamic sensing ranges.
Engineering 5.0 · Research 8.0 · Business 5.0
We present urban graph, which combines overhead EO priors, vehicle observations, and fixed roadside anchors in a hierarchical semantic scene graph.
Engineering 5.0 · Research 7.0 · Business 5.0
An autonomous driving research paper: Integrating Advanced AI techniques to assist Urban Digital Twins Generation.
Engineering 5.0 · Research 7.0 · Business 5.0
This paper presents a systematic literature review synthesizing PPO applications in autonomous driving.
Engineering 5.0 · Research 7.0 · Business 5.0
Future traffic scenarios will involve autonomous vehicles (AVs) interacting with other road users, including cyclists.
Engineering 5.0 · Research 7.0 · Business 5.0
Inspired by the application of Vision-Language Models (VLMs) in Vision-Language Navigation (VLN) tasks, we propose VLN-AVP, a zero-shot navigation framework for AVP tasks.
Engineering 5.5 · Research 7.0 · Business 5.5
Real-time visual object detection on resource-constrained in-vehicle platforms requires a practical balance among detection accuracy, model size, computational complexity, and inference speed.
Engineering 5.5 · Research 7.0 · Business 6.0
This paper presents the design and implementation of an affordable, small-scale car-like testbed that serves as a crucial bridge between simulation and full-scale deployment.
Engineering 5.5 · Research 7.0 · Business 6.5
Our methodology enables the creation of precise “behavioral fingerprints” that cap ture individual driving nuances.
Engineering 5.0 · Research 8.0 · Business 5.0
Autonomous vehicles (AVs) represent a foundational cornerstone of future smart city transportation systems, offering the potential to eliminate human driving errors, reduce traffic fatalities by at least 40%, and optimize energy consumption.
Engineering 6.5 · Research 7.0 · Business 7.0