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 4901–4925 of 6092 papers

TitleStatusHype
Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline—0
Value Alignment VerificationCode0
Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping—0
Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets—0
Displacement-Invariant Cost Computation for Efficient Stereo Matching—0
Robust and Accurate Object Velocity Detection by Stereo Camera for Autonomous Driving—0
Monocular 3D Object Detection with Sequential Feature Association and Depth Hint AugmentationCode1
Trajformer: Trajectory Prediction with Local Self-Attentive Contexts for Autonomous DrivingCode1
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving—0
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency—0
MEBOW: Monocular Estimation of Body Orientation In the WildCode1
The NEOLIX Open Dataset for Autonomous Driving—0
Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving—0
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks—0
Benchmarking Image Retrieval for Visual LocalizationCode1
Provably-Robust Runtime Monitoring of Neuron Activation Patterns—0
LiDAR-based Panoptic Segmentation via Dynamic Shifting NetworkCode1
Nudge Attacks on Point-Cloud DNNs—0
Dense open-set recognition with synthetic outliers generated by Real NVPCode0
MoNet: Motion-based Point Cloud Prediction Network—0
From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in VideoCode1
A Review and Comparative Study on Probabilistic Object Detection in Autonomous DrivingCode1
FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point CloudsCode0
Res-GCNN: A Lightweight Residual Graph Convolutional Neural Networks for Human Trajectory Forecasting—0
Taming and Leveraging Interference in Mobile Radar Networks—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