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 276–300 of 6092 papers

TitleStatusHype
Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous DrivingCode2
A Survey on Multimodal Large Language Models for Autonomous DrivingCode2
EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode2
A Simulation Benchmark for Autonomous Racing with Large-Scale Human DataCode2
EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy NetworkCode2
A Simple Framework for 3D Occupancy Estimation in Autonomous DrivingCode2
A Simple and Model-Free Path Filtering Algorithm for Smoothing and AccuracyCode2
End-to-End Vectorized HD-map Construction with Piecewise Bezier CurveCode2
A Review of Safe Reinforcement Learning: Methods, Theory and ApplicationsCode2
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel TransformerCode2
Advances in 4D Generation: A SurveyCode2
Benchmarking the Robustness of LiDAR Semantic Segmentation ModelsCode2
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view RepresentationCode2
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion DetectionCode2
Exploring the Causality of End-to-End Autonomous DrivingCode2
Autonomous Driving on Curvy Roads Without Reliance on Frenet Frame: A Cartesian-Based Trajectory Planning MethodCode2
Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View PerceptionCode2
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature AttentionCode2
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of VehiclesCode2
Autonomous Driving with Spiking Neural NetworksCode2
FocalFormer3D : Focusing on Hard Instance for 3D Object DetectionCode2
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social ExperiencesCode2
Drone-assisted Road Gaussian Splatting with Cross-view UncertaintyCode2
Asynchronous Large Language Model Enhanced Planner for Autonomous DrivingCode2
A real-time dynamic obstacle tracking and mapping system for UAV navigation and collision avoidance with an RGB-D cameraCode2
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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