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 51–75 of 2605 papers

TitleStatusHype
4D-ROLLS: 4D Radar Occupancy Learning via LiDAR SupervisionCode0
TS-VLM: Text-Guided SoftSort Pooling for Vision-Language Models in Multi-View Driving Reasoning—0
SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving—0
LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios—0
A Multi-modal Fusion Network for Terrain Perception Based on Illumination AwareCode0
A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network—0
Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object ShapesCode0
Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix—0
Scaling Multi Agent Reinforcement Learning for Underwater Acoustic Tracking via Autonomous Vehicles—0
Explaining Autonomous Vehicles with Intention-aware Policy Graphs—0
Learning Value of Information towards Joint Communication and Control in 6G V2X—0
Investigating Robotaxi Crash Severity Using Geographical Random Forest—0
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A SurveyCode0
AI-Powered Anomaly Detection with Blockchain for Real-Time Security and Reliability in Autonomous Vehicles—0
A Survey on Data-Driven Modeling of Human Drivers' Lane-Changing Decisions—0
Handling Pedestrian Uncertainty in Coordinating Autonomous Vehicles at Signal-Free Intersections—0
Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks—0
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) DecisionsCode0
Camera-Only Bird's Eye View Perception: A Neural Approach to LiDAR-Free Environmental Mapping for Autonomous Vehicles—0
Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State PerturbationCode0
PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting—0
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know—0
Multi-Objective Reinforcement Learning for Adaptive Personalized Autonomous Driving—0
Vision-Language-Action Models: Concepts, Progress, Applications and Challenges—0
Data-Driven Falsification of Cyber-Physical SystemsCode0
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Benchmark Results

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