SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

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Showing 651–700 of 2605 papers

TitleStatusHype
Artificial Intelligence in Traffic Systems—0
PanSR: An Object-Centric Mask Transformer for Panoptic SegmentationCode0
Key Safety Design Overview in AI-driven Autonomous Vehicles—0
evS2CP: Real-time Simultaneous Speed and Charging Planner for Connected Electric Vehicles—0
Bayesian Data Augmentation and Training for Perception DNN in Autonomous Aerial VehiclesCode0
Enhancing 3D Object Detection in Autonomous Vehicles Based on Synthetic Virtual Environment Analysis—0
ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving—0
A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles—0
GVDepth: Zero-Shot Monocular Depth Estimation for Ground Vehicles based on Probabilistic Cue Fusion—0
doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language NavigationCode0
Segment-Level Road Obstacle Detection Using Visual Foundation Model Priors and Likelihood Ratios—0
VTD: Visual and Tactile Database for Driver State and Behavior Perception—0
Text to Blind Motion—0
Reinforcement Learning for Freeway Lane-Change Regulation via Connected Vehicles—0
LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks—0
UNCOVER: Unknown Class Object Detection for Autonomous Vehicles in Real-time—0
FoveaSPAD: Exploiting Depth Priors for Adaptive and Efficient Single-Photon 3D Imaging—0
On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)—0
Generating Critical Scenarios for Testing Automated Driving Systems—0
ILASH: A Predictive Neural Architecture Search Framework for Multi-Task Applications—0
Object Tracking in a 360^o View: A Novel Perspective on Bridging the Gap to Biomedical Advancements—0
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections—0
Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model—0
GMS-VINS:Multi-category Dynamic Objects Semantic Segmentation for Enhanced Visual-Inertial Odometry Using a Promptable Foundation Model—0
Machine Learning for Spectrum Sharing: A Survey—0
Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning—0
Explainable deep learning improves human mental models of self-driving cars—0
Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors—0
DECODE: Domain-aware Continual Domain Expansion for Motion PredictionCode0
CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening—0
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling—0
A Parameter Adaptive Trajectory Tracking and Motion Control Framework for Autonomous Vehicle—0
Generating Out-Of-Distribution Scenarios Using Language Models—0
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning—0
Enhancing Object Detection Accuracy in Autonomous Vehicles Using Synthetic Data—0
A Real-Time DETR Approach to Bangladesh Road Object Detection for Autonomous Vehicles—0
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications—0
Physically Interpretable Probabilistic Domain Characterization—0
Experimental comparison of graph-based approximate nearest neighbor search algorithms on edge devices—0
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous VehiclesCode0
A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles—0
Verification and Validation of Autonomous Systems—0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
Zonal Architecture Development with evolution of Artificial Intelligence—0
AppSign: Multi-level Approximate Computing for Real-Time Traffic Sign Recognition in Autonomous Vehicles—0
On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation—0
Iterative Camera-LiDAR Extrinsic Optimization via Surrogate Diffusion—0
Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding—0
Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm—0
Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified