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 4426–4450 of 6092 papers

TitleStatusHype
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving—0
A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation—0
Evaluating Object (mis)Detection from a Safety and Reliability Perspective: Discussion and MeasuresCode0
Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction—0
LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction—0
Intrinsically-Motivated Reinforcement Learning: A Brief Introduction—0
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model—0
Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations—0
Continual BatchNorm Adaptation (CBNA) for Semantic SegmentationCode0
Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving—0
Vision-based Large-scale 3D Semantic Mapping for Autonomous Driving Applications—0
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey—0
Adversarial samples for deep monocular 6D object pose estimationCode0
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data—0
"If you could see me through my eyes": Predicting Pedestrian Perception—0
How Much Depth Information can Radar Contribute to a Depth Estimation Model?—0
Context-Hierarchy Inverse Reinforcement Learning—0
Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator -- Experience Report—0
Confidence Calibration for Object Detection and Segmentation—0
Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques—0
Light Robust Monocular Depth Estimation For Outdoor Environment Via Monochrome And Color Camera Fusion—0
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression—0
Path-Aware Graph Attention for HD Maps in Motion Prediction—0
DL-SLOT: Dynamic Lidar SLAM and Object Tracking Based On Graph Optimization—0
Enabling Efficient Deep Convolutional Neural Network-based Sensor Fusion for Autonomous Driving—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