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 4151–4175 of 6092 papers

TitleStatusHype
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments—0
A Data-Driven Approach for Autonomous Motion Planning and Control in Off-Road Driving Scenarios—0
A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets—0
A Dataset for Semantic Segmentation in the Presence of Unknowns—0
AdaWM: Adaptive World Model based Planning for Autonomous Driving—0
ADCNet: Learning from Raw Radar Data via Distillation—0
ADD: An Automatic Desensitization Fisheye Dataset for Autonomous Driving—0
Addressing Action Oscillations through Learning Policy Inertia—0
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation—0
Addressing Data Misalignment in Image-LiDAR Fusion on Point Cloud Segmentation—0
Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving—0
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning—0
AD-EE: Early Exiting for Fast and Reliable Vision-Language Models in Autonomous Driving—0
A Deep Learning Framework for Boundary-Aware Semantic Segmentation—0
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories—0
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset—0
ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems—0
ADriver-I: A General World Model for Autonomous Driving—0
A Driving Behavior Recognition Model with Bi-LSTM and Multi-Scale CNN—0
A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving—0
ADS-Edit: A Multimodal Knowledge Editing Dataset for Autonomous Driving Systems—0
Adv3D: Generating 3D Adversarial Examples for 3D Object Detection in Driving Scenarios with NeRF—0
Advanced Longitudinal Control and Collision Avoidance for High-Risk Edge Cases in Autonomous Driving—0
Advanced Multiple Linear Regression Based Dark Channel Prior Applied on Dehazing Image and Generating Synthetic Haze—0
Advanced Object Detection and Pose Estimation with Hybrid Task Cascade and High-Resolution Networks—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