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 676–700 of 2605 papers

TitleStatusHype
Scaling Diffusion Models to Real-World 3D LiDAR Scene CompletionCode3
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving—0
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving—0
Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative DrivingCode0
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion PredictionCode2
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making—0
Diffusion-Based Environment-Aware Trajectory Prediction—0
Integration of 5G and Motion Sensors for Vehicular Positioning: A Loosely-Coupled Approach—0
P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priors—0
Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind SpotsCode0
Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI—0
Are you a robot? Detecting Autonomous Vehicles from Behavior Analysis—0
PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF PriorsCode1
Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models—0
Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic ViolationsCode0
Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles—0
MonoOcc: Digging into Monocular Semantic Occupancy PredictionCode2
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution—0
Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks—0
MergeOcc: Bridge the Domain Gap between Different LiDARs for Robust Occupancy Prediction—0
Open-World Semantic Segmentation Including Class SimilarityCode2
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AICode0
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach—0
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Benchmark Results

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