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 776–800 of 6092 papers

TitleStatusHype
Implicit Guidance and Explicit Representation of Semantic Information in Points Cloud: A SurveyCode1
Image Segmentation: Inducing graph-based learningCode0
LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving—0
SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving—0
Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction—0
Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric PerspectivesCode5
A Novel Vision Transformer for Camera-LiDAR Fusion based Traffic Object Segmentation—0
MObI: Multimodal Object Inpainting Using Diffusion Models—0
4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic SegmentationCode0
LDMapNet-U: An End-to-End System for City-Scale Lane-Level Map Updating—0
GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent DetectionCode0
RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging RadarCode1
Adverse Weather Conditions Augmentation of LiDAR Scenes with Latent Diffusion Models—0
Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey—0
Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory—0
MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception—0
JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration—0
Leveraging SD Map to Augment HD Map-based Trajectory Prediction—0
DriveScape: High-Resolution Driving Video Generation by Multi-View Feature Fusion—0
Pseudo Visible Feature Fine-Grained Fusion for Thermal Object DetectionCode1
D^3CTTA: Domain-Dependent Decorrelation for Continual Test-Time Adaption of 3D LiDAR Segmentation—0
Multi-Modal Aerial-Ground Cross-View Place Recognition with Neural ODEs—0
DriveGPT4-V2: Harnessing Large Language Model Capabilities for Enhanced Closed-Loop Autonomous Driving—0
PIDLoc: Cross-View Pose Optimization Network Inspired by PID ControllersCode1
GLane3D: Detecting Lanes with Graph of 3D Keypoints—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