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 101–125 of 2605 papers

TitleStatusHype
SemanticSpray++: A Multimodal Dataset for Autonomous Driving in Wet Surface ConditionsCode1
Real-Time Environment Condition Classification for Autonomous VehiclesCode1
Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared SpaceCode1
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous DrivingCode1
SemVecNet: Generalizable Vector Map Generation for Arbitrary Sensor ConfigurationsCode1
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic EnvironmentsCode1
Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-DistillationCode1
Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven VehiclesCode1
The Radar Ghost Dataset -- An Evaluation of Ghost Objects in Automotive Radar DataCode1
Human-compatible driving partners through data-regularized self-play reinforcement learningCode1
Proprioception Is All You Need: Terrain Classification for Boreal ForestsCode1
PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF PriorsCode1
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLOCode1
AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge IntegrationCode1
Fourier Prompt Tuning for Modality-Incomplete Scene SegmentationCode1
SGV3D:Towards Scenario Generalization for Vision-based Roadside 3D Object DetectionCode1
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under UncertaintyCode1
A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle PlatooningCode1
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital TwinsCode1
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous DrivingCode1
ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging EnvironmentsCode1
TPatch: A Triggered Physical Adversarial PatchCode1
Social-Transmotion: Promptable Human Trajectory PredictionCode1
Efficient Reinforcement Learning via Decoupling Exploration and UtilizationCode1
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Benchmark Results

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