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

Showing 19011950 of 6092 papers

TitleStatusHype
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles0
Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers0
Multimodal 3D Object Detection on Unseen Domains0
TempBEV: Improving Learned BEV Encoders with Combined Image and BEV Space Temporal Aggregation0
Sky-GVIO: an enhanced GNSS/INS/Vision navigation with FCN-based sky-segmentation in urban canyonCode0
VG4D: Vision-Language Model Goes 4D Video RecognitionCode1
Detector Collapse: Physical-World Backdooring Object Detection to Catastrophic Overload or Blindness in Autonomous Driving0
D-Aug: Enhancing Data Augmentation for Dynamic LiDAR Scenes0
KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized IntersectionsCode1
How to deal with glare for improved perception of Autonomous Vehicles0
End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving0
PreGSU-A Generalized Traffic Scene Understanding Model for Autonomous Driving based on Pre-trained Graph Attention Network0
N-Agent Ad Hoc TeamworkCode1
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases0
LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Embodied Intelligence System0
Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End SystemCode2
SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction0
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
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows0
VFMM3D: Releasing the Potential of Image by Vision Foundation Model for Monocular 3D Object Detection0
Evaluation and Improvement of Fault Detection for Large Language Models0
SyntStereo2Real: Edge-Aware GAN for Remote Sensing Image-to-Image Translation while Maintaining Stereo Constraint0
VRS-NeRF: Visual Relocalization with Sparse Neural Radiance FieldCode1
Intention-Aware Control Based on Belief-Space Specifications and Stochastic ExpansionCode0
D2E-An Autonomous Decision-making Dataset involving Driver States and Human Evaluation0
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic PerceptionCode1
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity AnalysisCode0
WROOM: An Autonomous Driving Approach for Off-Road NavigationCode1
Transfer Learning Study of Motion Transformer-based Trajectory Predictions0
VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning0
Real-Time Detection and Analysis of Vehicles and Pedestrians using Deep Learning0
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous DrivingCode3
Homography Guided Temporal Fusion for Road Line and Marking SegmentationCode1
PillarTrack:Boosting Pillar Representation for Transformer-based 3D Single Object Tracking on Point CloudsCode1
PRAM: Place Recognition Anywhere Model for Efficient Visual LocalizationCode2
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?Code2
Sparse Laneformer0
Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data0
Identification of Fine-grained Systematic Errors via Controlled Scene Generation0
Scaling Multi-Camera 3D Object Detection through Weak-to-Strong ElicitingCode2
SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving0
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks0
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory PredictionCode0
RoadBEV: Road Surface Reconstruction in Bird's Eye ViewCode3
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph SegmentationCode0
HPNet: Dynamic Trajectory Forecasting with Historical Prediction AttentionCode3
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation0
Label-Efficient 3D Object Detection For Road-Side Units0
Autonomous Driving Small-Scale Cars: A Survey of Recent Development0
AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning0
Show:102550
← PrevPage 39 of 122Next →

Benchmark Results

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