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 1901–1925 of 6092 papers

TitleStatusHype
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles—0
Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers—0
Multimodal 3D Object Detection on Unseen Domains—0
TempBEV: Improving Learned BEV Encoders with Combined Image and BEV Space Temporal Aggregation—0
How to deal with glare for improved perception of Autonomous Vehicles—0
VG4D: Vision-Language Model Goes 4D Video RecognitionCode1
Detector Collapse: Physical-World Backdooring Object Detection to Catastrophic Overload or Blindness in Autonomous Driving—0
D-Aug: Enhancing Data Augmentation for Dynamic LiDAR Scenes—0
Sky-GVIO: an enhanced GNSS/INS/Vision navigation with FCN-based sky-segmentation in urban canyonCode0
KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized IntersectionsCode1
End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving—0
N-Agent Ad Hoc TeamworkCode1
LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Embodied Intelligence System—0
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
Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End SystemCode2
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 Flows—0
VFMM3D: Releasing the Potential of Image by Vision Foundation Model for Monocular 3D Object Detection—0
SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction—0
Evaluation and Improvement of Fault Detection for Large Language Models—0
VRS-NeRF: Visual Relocalization with Sparse Neural Radiance FieldCode1
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
D2E-An Autonomous Decision-making Dataset involving Driver States and Human Evaluation—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