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 1701–1725 of 6092 papers

TitleStatusHype
LMFormer: Lane based Motion Prediction Transformer—0
Decoupled Diffusion Sparks Adaptive Scene Generation—0
Vision based driving agent for race car simulation environments—0
Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving—0
Minority Reports: Balancing Cost and Quality in Ground Truth Data Annotation—0
VL-UR: Vision-Language-guided Universal Restoration of Images Degraded by Adverse Weather Conditions—0
Offline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing—0
Shadow Erosion and Nighttime Adaptability for Camera-Based Automated Driving Applications—0
Datasets for Lane Detection in Autonomous Driving: A Comprehensive Review—0
EO-VLM: VLM-Guided Energy Overload Attacks on Vision Models—0
Road Grip Uncertainty Estimation Through Surface State Segmentation—0
High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Driving—0
Investigating Vision-Language Model for Point Cloud-based Vehicle Classification—0
My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical Data—0
X-DECODE: EXtreme Deblurring with Curriculum Optimization and Domain EqualizationCode0
RASMD: RGB And SWIR Multispectral Driving Dataset for Robust Perception in Adverse Conditions—0
MovSAM: A Single-image Moving Object Segmentation Framework Based on Deep ThinkingCode0
PRIMEDrive-CoT: A Precognitive Chain-of-Thought Framework for Uncertainty-Aware Object Interaction in Driving Scene Scenario—0
Uncertainty-Aware Hybrid Machine Learning in Virtual Sensors for Vehicle Sideslip Angle Estimation—0
GAMDTP: Dynamic Trajectory Prediction with Graph Attention Mamba Network—0
Balancing Robustness and Efficiency in Embedded DNNs Through Activation Function Selection—0
Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement LearningCode0
Resource-Efficient Beam Prediction in mmWave Communications with Multimodal Realistic Simulation Framework—0
DyTTP: Trajectory Prediction with Normalization-Free Transformers—0
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning—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