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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 2605 papers

TitleStatusHype
GMS-VINS:Multi-category Dynamic Objects Semantic Segmentation for Enhanced Visual-Inertial Odometry Using a Promptable Foundation Model—0
Explainable deep learning improves human mental models of self-driving cars—0
Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning—0
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling—0
DECODE: Domain-aware Continual Domain Expansion for Motion PredictionCode0
Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors—0
CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening—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
Physically Interpretable Probabilistic Domain Characterization—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
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
WHALES: A Multi-agent Scheduling Dataset for Enhanced Cooperation in Autonomous DrivingCode1
Zonal Architecture Development with evolution of Artificial Intelligence—0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation—0
AppSign: Multi-level Approximate Computing for Real-Time Traffic Sign Recognition in Autonomous Vehicles—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
M3TR: A Generalist Model for Real-World HD Map CompletionCode1
Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies—0
Exploring the Use of Autonomous Unmanned Vehicles for Supporting Power Grid Operations—0
FluidML: Fast and Memory Efficient Inference Optimization—0
DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing—0
Lost in Tracking Translation: A Comprehensive Analysis of Visual SLAM in Human-Centered XR and IoT Ecosystems—0
Machine vision-aware quality metrics for compressed image and video assessment—0
Fast and Efficient Transformer-based Method for Bird's Eye View Instance PredictionCode1
FuzzRisk: Online Collision Risk Estimation for Autonomous Vehicles based on Depth-Aware Object Detection via Fuzzy Inference—0
Knowledge Distillation Neural Network for Predicting Car-following Behaviour of Human-driven and Autonomous Vehicles—0
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous DrivingCode1
Personalized Federated Learning for Cross-view Geo-localization—0
Federated Data-Driven Kalman Filtering for State Estimation—0
Towards 3D Semantic Scene Completion for Autonomous Driving: A Meta-Learning Framework Empowered by Deformable Large-Kernel Attention and Mamba Model—0
Energy-Aware Predictive Motion Planning for Autonomous Vehicles Using a Hybrid Zonotope Constraint Representation—0
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object DetectionCode1
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey—0
Radiance Field Delta Video Compression in Edge-Enabled Vehicular MetaverseCode0
Uncertainty Estimation for 3D Object Detection via Evidential Learning—0
An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap FusionCode1
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative LayersCode0
Democratizing Reward Design for Personal and Representative Value-Alignment—0
TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors—0
AI-Driven Scenarios for Urban Mobility: Quantifying the Role of ODE Models and Scenario Planning in Reducing Traffic Congestion—0
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Benchmark Results

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