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

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Showing 3051–3100 of 6092 papers

TitleStatusHype
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation—0
An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection—0
An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots—0
An Empirical Evaluation of Deep Learning on Highway Driving—0
An Empirical Study of Adder Neural Networks for Object Detection—0
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection—0
An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains—0
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models—0
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams—0
An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images—0
An End-to-End Vehicle Trajcetory Prediction Framework—0
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice—0
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation—0
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving—0
A New Architecture for Neural Enhanced Multiobject Tracking—0
ViewpointDepth: A New Dataset for Monocular Depth Estimation Under Viewpoint Shifts—0
Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks—0
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving—0
An Independent Study of Reinforcement Learning and Autonomous Driving—0
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles—0
An Investigation of Denial of Service Attacks on Autonomous Driving Software and Hardware in Operation—0
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds—0
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data—0
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation—0
Anomaly Detection in Radar Data Using PointNets—0
An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles—0
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms—0
A Novel Algorithm for Exact Concave Hull Extraction—0
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators—0
A Novel Mathematical Model for Infrastructure Planning of Dynamic Wireless Power Transfer Systems for Electric Vehicles—0
A Novel Method for Lane-change Maneuver in Urban Driving Using Predictive Markov Decision Process—0
A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations—0
A novel pLSA based Traffic Signs Classification System—0
A Novel Upsampling and Context Convolution for Image Semantic Segmentation—0
A Novel Vision Transformer for Camera-LiDAR Fusion based Traffic Object Segmentation—0
An Overview about Emerging Technologies of Autonomous Driving—0
Anti-Delay Kalman Filter Fusion Algorithm for Vehicle-borne Sensor Network with Finite-Time Convergence—0
An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions—0
Anytime Incremental ρPOMDP Planning in Continuous Spaces—0
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation—0
APE: An Open and Shared Annotated Dataset for Learning Urban Pedestrian Path Networks—0
A Pedestrian Detection and Tracking Framework for Autonomous Cars: Efficient Fusion of Camera and LiDAR Data—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving—0
ApolloRL: a Reinforcement Learning Platform for Autonomous Driving—0
Application of Multimodal Large Language Models in Autonomous Driving—0
Application of Tensorized Neural Networks for Cloud Classification—0
Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving—0
Application of YOLOv8 in monocular downward multiple Car Target detection—0
Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions—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