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 4101–4150 of 6092 papers

TitleStatusHype
A Computer Vision Approach for Autonomous Cars to Drive Safe at Construction Zone—0
A Concise Survey on Lane Topology Reasoning for HD Mapping—0
A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts—0
A Contrastive Teacher-Student Framework for Novelty Detection under Style Shifts—0
A Convolutional Neural Network for Point Cloud Instance Segmentation in Cluttered Scene Trained by Synthetic Data Without Color—0
A Critical Analysis of Image-based Camera Pose Estimation Techniques—0
How GPT-3 responds to different publics on climate change and Black Lives Matter: A critical appraisal of equity in conversational AI—0
Cross-Modal Distillation for RGB-Depth Person Re-Identification—0
A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation—0
ACT-Bench: Towards Action Controllable World Models for Autonomous Driving—0
Action and intention recognition of pedestrians in urban traffic—0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning—0
Action Anticipation By Predicting Future Dynamic Images—0
Action-based Contrastive Learning for Trajectory Prediction—0
Action Detection from a Robot-Car Perspective—0
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving—0
Active Altruism Learning and Information Sufficiency for Autonomous Driving—0
Active Learning for Lane Detection: A Knowledge Distillation Approach—0
Active Learning from Scene Embeddings for End-to-End Autonomous Driving—0
Active Legibility in Multiagent Reinforcement Learning—0
Active-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO—0
Active Perception using Light Curtains for Autonomous Driving—0
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving—0
AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions—0
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset—0
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection—0
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion—0
AdaOcc: Adaptive-Resolution Occupancy Prediction—0
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems—0
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception—0
Adapting to Length Shift: FlexiLength Network for Trajectory Prediction—0
Adapting to Unseen Environments through Explicit Representation of Context—0
Adaptive and Fast Combined Waveform-Beamforming Design for mmWave Automotive Joint Communication-Radar—0
Adaptive Automotive Radar data Acquisition—0
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States—0
Adaptive Communications in Collaborative Perception with Domain Alignment for Autonomous Driving—0
Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery—0
Adaptive Failure Search Using Critical States from Domain Experts—0
Adaptive Field Effect Planner for Safe Interactive Autonomous Driving on Curved Roads—0
Adaptive Instance Distillation for Object Detection in Autonomous Driving—0
Adaptive Kalman-based hybrid car following strategy using TD3 and CACC—0
Adaptive Neural Networks for Intelligent Data-Driven Development—0
Adaptive Optimization of Autonomous Vehicle Computational Resources for Performance and Energy Improvement—0
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting—0
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network—0
AdaptiveShape: Solving Shape Variability for 3D Object Detection with Geometry Aware Anchor Distributions—0
Adaptive Stream Processing on Edge Devices through Active Inference—0
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning—0
Adaptive Trajectory Prediction via Transferable GNN—0
Adaptive Video Configuration and Bitrate Allocation for Teleoperated Vehicles—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