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 2951–2975 of 6092 papers

TitleStatusHype
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases—0
PreGSU-A Generalized Traffic Scene Understanding Model for Autonomous Driving based on Pre-trained Graph Attention Network—0
VFMM3D: Releasing the Potential of Image by Vision Foundation Model for Monocular 3D Object Detection—0
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows—0
DIDLM: A SLAM Dataset for Difficult Scenarios Featuring Infrared, Depth Cameras, LIDAR, 4D Radar, and Others under Adverse Weather, Low Light Conditions, and Rough RoadsCode0
SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction—0
Evaluation and Improvement of Fault Detection for Large Language Models—0
SyntStereo2Real: Edge-Aware GAN for Remote Sensing Image-to-Image Translation while Maintaining Stereo Constraint—0
Intention-Aware Control Based on Belief-Space Specifications and Stochastic ExpansionCode0
Transfer Learning Study of Motion Transformer-based Trajectory Predictions—0
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity AnalysisCode0
D2E-An Autonomous Decision-making Dataset involving Driver States and Human Evaluation—0
VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning—0
Sparse Laneformer—0
Real-Time Detection and Analysis of Vehicles and Pedestrians using Deep Learning—0
SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving—0
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks—0
Identification of Fine-grained Systematic Errors via Controlled Scene Generation—0
Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data—0
Autonomous Driving Small-Scale Cars: A Survey of Recent Development—0
Label-Efficient 3D Object Detection For Road-Side Units—0
AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning—0
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph SegmentationCode0
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation—0
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory PredictionCode0
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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