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 101–150 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
Efficient Reinforcement Learning via Decoupling Exploration and UtilizationCode1
Social-Transmotion: Promptable Human Trajectory PredictionCode1
Parameterized Decision-making with Multi-modal Perception for Autonomous DrivingCode1
Personalized Autonomous Driving with Large Language Models: Field ExperimentsCode1
Reliability in Semantic Segmentation: Can We Use Synthetic Data?Code1
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object DiscoveryCode1
TULIP: Transformer for Upsampling of LiDAR Point CloudsCode1
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
Bootstrapping Autonomous Driving Radars with Self-Supervised LearningCode1
GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language ModelsCode1
Dolphins: Multimodal Language Model for DrivingCode1
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable UncertaintyCode1
Automated Lane Change via Adaptive Interactive MPC: Human-in-the-Loop ExperimentsCode1
LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place RecognitionCode1
JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in CrowdsCode1
Learning Cooperative Trajectory Representations for Motion ForecastingCode1
RGB-X Object Detection via Scene-Specific Fusion ModulesCode1
Reward Finetuning for Faster and More Accurate Unsupervised Object DiscoveryCode1
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud DataCode1
Safe Navigation: Training Autonomous Vehicles using Deep Reinforcement Learning in CARLACode1
LiDAR-based 4D Occupancy Completion and ForecastingCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
PC-NeRF: Parent-Child Neural Radiance Fields under Partial Sensor Data Loss in Autonomous Driving EnvironmentsCode1
MotionLM: Multi-Agent Motion Forecasting as Language ModelingCode1
Semantic Map Learning of Traffic Light to Lane Assignment based on Motion DataCode1
Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman FilterCode1
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable EnvironmentsCode1
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Benchmark Results

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