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 3551–3600 of 6092 papers

TitleStatusHype
The ATLAS of Traffic Lights: A Reliable Perception Framework for Autonomous Driving—0
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks—0
The Compact Support Neural Network—0
The Design of Informative Take-Over Requests for Semi-Autonomous Cyber-Physical Systems: Combining Spoken Language and Visual Icons in a Drone-Controller Setting—0
The Devil is in the Details: Simple Remedies for Image-to-LiDAR Representation Learning—0
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection—0
The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks—0
The global consensus on the risk management of autonomous driving—0
The Greedy Dirichlet Process Filter - An Online Clustering Multi-Target Tracker—0
The Impact of Different Backbone Architecture on Autonomous Vehicle Dataset—0
The importance of space and time in neuromorphic cognitive agents—0
The JPEG Pleno Learning-based Point Cloud Coding Standard: Serving Man and Machine—0
The Meeseeks Mesh: Spatially Consistent 3D Adversarial Objects for BEV Detector—0
The NEOLIX Open Dataset for Autonomous Driving—0
The Past and Present of Imitation Learning: A Citation Chain Study—0
The Pedestrian Patterns Dataset—0
Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving—0
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition—0
The Robust Semantic Segmentation UNCV2023 Challenge Results—0
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes—0
The Translucent Patch: A Physical and Universal Attack on Object Detectors—0
The Use of Multimodal Large Language Models to Detect Objects from Thermal Images: Transportation Applications—0
The Virtuous Machine - Old Ethics for New Technology?—0
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing—0
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration—0
Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion—0
TiCoSS: Tightening the Coupling between Semantic Segmentation and Stereo Matching within A Joint Learning Framework—0
TigAug: Data Augmentation for Testing Traffic Light Detection in Autonomous Driving Systems—0
TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric—0
Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving—0
Timealign: A multi-modal object detection method for time misalignment fusing in autonomous driving—0
Time-Dependent Performance Modeling for Platooning Communications at Intersection—0
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation—0
Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems—0
Time of Arrival Error Estimation for Positioning Using Convolutional Neural Networks—0
TimePillars: Temporally-Recurrent 3D LiDAR Object Detection—0
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights—0
TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving—0
TIP: Task-Informed Motion Prediction for Intelligent Vehicles—0
TLD: A Vehicle Tail Light signal Dataset and Benchmark—0
TL-GAN: Improving Traffic Light Recognition via Data Synthesis for Autonomous Driving—0
TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving—0
To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation—0
TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving—0
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving—0
To Make Yourself Invisible with Adversarial Semantic Contours—0
Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning—0
TopoSD: Topology-Enhanced Lane Segment Perception with SDMap Prior—0
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters—0
TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module—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