SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle 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: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2251–2300 of 6092 papers

TitleStatusHype
TopoSD: Topology-Enhanced Lane Segment Perception with SDMap Prior—0
Benchmarking the Robustness of Optical Flow Estimation to CorruptionsCode0
Neuro-Symbolic Evaluation of Text-to-Video Models using Formal VerificationCode0
LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation—0
Adversarial Prompt Distillation for Vision-Language Models—0
FTA generation using GenAI with an Autonomy sensor Usecase—0
UniGaussian: Driving Scene Reconstruction from Multiple Camera Models via Unified Gaussian Representations—0
Understanding World or Predicting Future? A Comprehensive Survey of World Models—0
Model Checking for Reinforcement Learning in Autonomous Driving: One Can Do More Than You Think!—0
WARLearn: Weather-Adaptive Representation LearningCode0
Open Challenges in the Formal Verification of Autonomous Driving—0
MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control—0
A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry—0
A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehicles—0
Formal Simulation and Visualisation of Hybrid Programs—0
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous VehiclesCode0
LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement—0
YCB-LUMA: YCB Object Dataset with Luminance Keying for Object LocalizationCode0
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning—0
Hints of Prompt: Enhancing Visual Representation for Multimodal LLMs in Autonomous Driving—0
MambaDETR: Query-based Temporal Modeling using State Space Model for Multi-View 3D Object Detection—0
A Resource Efficient Fusion Network for Object Detection in Bird's-Eye View using Camera and Raw Radar DataCode0
C^2INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention—0
M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D ReconstructionCode0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation—0
The ADUULM-360 Dataset -- A Multi-Modal Dataset for Depth Estimation in Adverse WeatherCode0
SignEye: Traffic Sign Interpretation from Vehicle First-Person View—0
ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling—0
Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation—0
V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception—0
Automatic Discovery and Assessment of Interpretable Systematic Errors in Semantic Segmentation—0
Attention-based U-Net Method for Autonomous Lane Detection—0
MTA: Multimodal Task Alignment for BEV Perception and Captioning—0
Explanation for Trajectory Planning using Multi-modal Large Language Model for Autonomous Driving—0
Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making—0
Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies—0
Prompt-Guided Environmentally Consistent Adversarial Patch—0
Advancing Autonomous Driving Perception: Analysis of Sensor Fusion and Computer Vision Techniques—0
Methodology for a Statistical Analysis of Influencing Factors on 3D Object Detection Performance—0
3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter—0
OWLed: Outlier-weighed Layerwise Pruning for Efficient Autonomous Driving FrameworkCode0
Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach—0
SIESEF-FusionNet: Spatial Inter-correlation Enhancement and Spatially-Embedded Feature Fusion Network for LiDAR Point Cloud Semantic Segmentation—0
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks—0
Expectation vs. Reality: Towards Verification of Psychological Games—0
Open-set object detection: towards unified problem formulation and benchmarking—0
SimpleBEV: Improved LiDAR-Camera Fusion Architecture for 3D Object Detection—0
Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent—0
ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified