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 376–400 of 6092 papers

TitleStatusHype
UnIRe: Unsupervised Instance Decomposition for Dynamic Urban Scene Reconstruction—0
A Concise Survey on Lane Topology Reasoning for HD Mapping—0
Cal or No Cal? -- Real-Time Miscalibration Detection of LiDAR and Camera SensorsCode1
4D mmWave Radar in Adverse Environments for Autonomous Driving: A Survey—0
STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?—0
GLane3D : Detecting Lanes with Graph of 3D Keypoints—0
DenseFormer: Learning Dense Depth Map from Sparse Depth and Image via Conditional Diffusion Model—0
Can Test-Time Scaling Improve World Foundation Model?Code1
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios—0
UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous DrivingCode3
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective—0
A Benchmark for Vision-Centric HD Mapping by V2I Systems—0
Video-based Traffic Light Recognition by Rockchip RV1126 for Autonomous Driving—0
OnSiteVRU: A High-Resolution Trajectory Dataset for High-Density Vulnerable Road Users—0
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action ModelCode4
VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving—0
Markov Potential Game Construction and Multi-Agent Reinforcement Learning with Applications to Autonomous Driving—0
Mitigating Trade-off: Stream and Query-guided Aggregation for Efficient and Effective 3D Occupancy PredictionCode1
Multi-modal Knowledge Distillation-based Human Trajectory ForecastingCode1
A Deep Learning Framework for Boundary-Aware Semantic Segmentation—0
A Dataset for Semantic Segmentation in the Presence of Unknowns—0
NuGrounding: A Multi-View 3D Visual Grounding Framework in Autonomous Driving—0
CoGen: 3D Consistent Video Generation via Adaptive Conditioning for Autonomous Driving—0
SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles—0
CRLLK: Constrained Reinforcement Learning for Lane Keeping in 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