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

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Showing 5151–5200 of 6092 papers

TitleStatusHype
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment—0
TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric—0
Motion Prediction in Visual Object Tracking—0
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles—0
Reinforcement Learning based Control of Imitative Policies for Near-Accident DrivingCode1
Online Domain Adaptation for Occupancy MappingCode1
Deep Neural Networks for Computational Optical Form Measurements—0
Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures—0
Accelerating Reinforcement Learning Agent with EEG-based Implicit Human Feedback—0
Deep Learning for Vision-based Prediction: A SurveyCode1
Vehicle Re-ID for Surround-view Camera System—0
Leveraging Temporal Information for 3D Detection and Domain AdaptationCode1
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey—0
Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques—0
2nd Place Solution for Waymo Open Dataset Challenge -- 2D Object Detection—0
Localization Uncertainty Estimation for Anchor-Free Object Detection—0
Lessons Learned from Accident of Autonomous Vehicle Testing: An Edge Learning-aided Offloading Framework—0
Learning predictive representations in autonomous driving to improve deep reinforcement learning—0
ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Medical Image Segmentation—0
Adversarial Robustness of Deep Sensor Fusion Models—0
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time—0
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron—0
AFDet: Anchor Free One Stage 3D Object DetectionCode1
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving—0
Safe Reinforcement Learning via Curriculum InductionCode1
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data—0
Affordable Modular Autonomous Vehicle Development PlatformCode0
Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision—0
Generalization of Agent Behavior through Explicit Representation of Context—0
Task-agnostic Out-of-Distribution Detection Using Kernel Density EstimationCode0
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections—0
Improved Deep Point Cloud Geometry CompressionCode1
Self-Supervised Domain Mismatch Estimation for Autonomous Perception—0
HyperFlow: Representing 3D Objects as SurfacesCode0
Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes—0
Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior—0
Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving—0
Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle DetectionCode2
RoadNet-RT: High Throughput CNN Architecture and SoC Design for Real-Time Road SegmentationCode0
Data Driven Prediction Architecture for Autonomous Driving and its Application on Apollo Platform—0
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies—0
Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents—0
Real-time single image depth perception in the wild with handheld devicesCode1
Delta Descriptors: Change-Based Place Representation for Robust Visual LocalizationCode1
Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection—0
MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views—0
Off-the-shelf sensor vs. experimental radar -- How much resolution is necessary in automotive radar classification?—0
Learning Navigation Costs from Demonstration with Semantic Observations—0
Learning Navigation Costs from Demonstrations with Semantic Observations—0
Probabilistic Semantic Mapping for Urban Autonomous Driving Applications—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