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 1501–1525 of 6092 papers

TitleStatusHype
When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models—0
LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera—0
Velocity Driven Vision: Asynchronous Sensor Fusion Birds Eye View Models for Autonomous Vehicles—0
Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving—0
Understanding Impacts of Electromagnetic Signal Injection Attacks on Object Detection—0
A Simulation Benchmark for Autonomous Racing with Large-Scale Human DataCode2
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications—0
Explore the LiDAR-Camera Dynamic Adjustment Fusion for 3D Object DetectionCode0
WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding—0
MILAN: Milli-Annotations for Lidar Semantic Segmentation—0
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous DrivingCode1
Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps—0
CalibRBEV: Multi-Camera Calibration via ReversedBird's-eye-view Representations for Autonomous Driving.—0
CORT: Class-Oriented Real-time Tracking for Embedded Systems—0
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning—0
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning—0
KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models—0
Complementary Learning for Real-World Model Failure DetectionCode0
SUSTechGAN: Image Generation for Object Detection in Adverse Conditions of Autonomous DrivingCode0
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check—0
OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird's-eye-view Vehicle Semantic Segmentation—0
PG-Attack: A Precision-Guided Adversarial Attack Framework Against Vision Foundation Models for Autonomous DrivingCode1
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios—0
Real-Time 3D Occupancy Prediction via Geometric-Semantic Disentanglement—0
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial RepresentationsCode0
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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