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 2801–2825 of 6092 papers

TitleStatusHype
Backdooring Outlier Detection Methods: A Novel Attack Approach—0
All-photon Polarimetric Time-of-Flight Imaging—0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning—0
Development and testing of an image transformer for explainable autonomous driving systems—0
Developing a Purely Visual Based Obstacle Detection using Inverse Perspective Mapping—0
DeTra: A Unified Model for Object Detection and Trajectory Forecasting—0
Backdoor Defense via Test-Time Detecting and Repairing—0
All-optical image classification through unknown random diffusers using a single-pixel diffractive network—0
DETR4D: Direct Multi-View 3D Object Detection with Sparse Attention—0
Detector Collapse: Physical-World Backdooring Object Detection to Catastrophic Overload or Blindness in Autonomous Driving—0
Aligning Task- and Reconstruction-Oriented Communications for Edge Intelligence—0
Action and intention recognition of pedestrians in urban traffic—0
Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds—0
Detection of Adversarial Physical Attacks in Time-Series Image Data—0
Detection Is Tracking: Point Cloud Multi-Sweep Deep Learning Models Revisited—0
A lightweight YOLOv5-FFM model for occlusion pedestrian detection—0
Detecting the Anomalies in LiDAR Pointcloud—0
AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation—0
Detecting OODs as datapoints with High Uncertainty—0
A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs—0
ACT-Bench: Towards Action Controllable World Models for Autonomous Driving—0
Detecting Driveable Area for Autonomous Vehicles—0
Detecting Backdoor Attacks Against Point Cloud Classifiers—0
Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems—0
Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning—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