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 5376–5400 of 6092 papers

TitleStatusHype
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning—0
Physical Model Guided Deep Image Deraining—0
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings—0
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior—0
Adversarial Attacks on Monocular Depth Estimation—0
A Game-Theoretic Model of Human Driving and Application to Discretionary Lane-Changes—0
GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction—0
Deep Constrained Q-learning—0
3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image—0
Generalizable Pedestrian Detection: The Elephant In The Room—0
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy—0
Vision-Based Autonomous Driving: A Model Learning Approach—0
Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance—0
Learning to Optimize Autonomy in Competence-Aware Systems—0
Neural Mesh Refiner for 6-DoF Pose Estimation—0
A Survey of End-to-End Driving: Architectures and Training Methods—0
LiDAR guided Small obstacle SegmentationCode0
Interaction Graphs for Object Importance Estimation in On-road Driving Videos—0
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting—0
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation—0
Using an ensemble color space model to tackle adversarial examples—0
Off-Road Drivable Area Extraction Using 3D LiDAR Data—0
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images—0
PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving—0
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural NetworksCode0
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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