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 2776–2800 of 6092 papers

TitleStatusHype
Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and SegmentationCode1
On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation—0
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning AgentsCode0
BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout—0
A Survey on Deep Learning-based Spatio-temporal Action Detection—0
UGainS: Uncertainty Guided Anomaly Instance SegmentationCode1
Assessing Systematic Weaknesses of DNNs using Counterfactuals—0
Spatial Intelligence of a Self-driving Car and Rule-Based Decision Making—0
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous DrivingCode1
DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous DrivingCode2
MonoNext: A 3D Monocular Object Detection with ConvNext—0
Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality FusionCode1
Detecting the Anomalies in LiDAR Pointcloud—0
On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars—0
FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration—0
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving—0
Freespace Optical Flow Modeling for Automated Driving—0
Benchmarking Jetson Edge Devices with an End-to-end Video-based Anomaly Detection SystemCode0
OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic SegmentationCode1
Robust Detection, Association, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations—0
MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View Simulation—0
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos—0
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous DrivingCode2
Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving—0
Causal reasoning in typical computer vision tasks—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