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

Showing 18011825 of 6092 papers

TitleStatusHype
DC-Scene: Data-Centric Learning for 3D Scene UnderstandingCode0
Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement LearningCode0
Large-Scale Object Discovery and Detector Adaptation from Unlabeled VideoCode0
Dynamic-Weighted Simplex Strategy for Learning Enabled Cyber Physical SystemsCode0
Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement LearningCode0
Learning an Uncertainty-Aware Object Detector for Autonomous DrivingCode0
Language-Driven Active Learning for Diverse Open-Set 3D Object DetectionCode0
LaneNet: Real-Time Lane Detection Networks for Autonomous DrivingCode0
Large Class Separation is not what you need for Relational Reasoning-based OOD DetectionCode0
A General Framework for Uncertainty Estimation in Deep LearningCode0
Bias Behind the Wheel: Fairness Testing of Autonomous Driving SystemsCode0
Knowledge Graphs of Driving Scenes to Empower the Emerging Capabilities of Neurosymbolic AICode0
Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles with Discrete Gear SelectionCode0
Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous DrivingCode0
KDMOS:Knowledge Distillation for Motion SegmentationCode0
Just Go with the Flow: Self-Supervised Scene Flow EstimationCode0
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous DrivingCode0
DAM: Diffusion Activation Maximization for 3D Global ExplanationsCode0
DaDe: Delay-adaptive Detector for Streaming PerceptionCode0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency TransferCode0
Efficient Formal Safety Analysis of Neural NetworksCode0
Inverse Reinforcement Learning in Contextual MDPsCode0
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and GoalsCode0
CV-MOS: A Cross-View Model for Motion SegmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified