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 5826–5850 of 6092 papers

TitleStatusHype
DC-Scene: Data-Centric Learning for 3D Scene UnderstandingCode0
Where and What: Driver Attention-based Object DetectionCode0
Sparse Prototype Network for Explainable Pedestrian Behavior PredictionCode0
Bias Behind the Wheel: Fairness Testing of Autonomous Driving SystemsCode0
Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot DeploymentCode0
LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDARCode0
World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World ModelCode0
Explanation-Aware Experience Replay in Rule-Dense EnvironmentsCode0
LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point CloudsCode0
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous DrivingCode0
LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving ScenariosCode0
DAM: Diffusion Activation Maximization for 3D Global ExplanationsCode0
Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuantCode0
An Adaptive Black-box Backdoor Detection Method for Deep Neural NetworksCode0
Verifiable Goal Recognition for Autonomous Driving with OcclusionsCode0
Toward Policy Explanations for Multi-Agent Reinforcement LearningCode0
Brno Urban Dataset -- The New Data for Self-Driving Agents and Mapping TasksCode0
Verifiable Obstacle DetectionCode0
A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D ImagesCode0
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy EvaluationCode0
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic SegmentationCode0
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a CarCode0
DaDe: Delay-adaptive Detector for Streaming PerceptionCode0
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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