SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1326–1350 of 2605 papers

TitleStatusHype
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System—0
View-to-Label: Multi-View Consistency for Self-Supervised 3D Object Detection—0
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition—0
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches—0
Pedestrian detection with high-resolution event camera—0
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles—0
Analysis over vision-based models for pedestrian action anticipation—0
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU—0
Moral Machine or Tyranny of the Majority?—0
Merging control in mixed traffic with safety guarantees: a safe sequencing policy with optimal motion control—0
Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving—0
CUEING: a lightweight model to Capture hUman attEntion In driviNG—0
On the Robustness of Segment Anything—0
survAIval: Survival Analysis with the Eyes of AI—0
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving—0
Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map—0
Testing of Deep Reinforcement Learning Agents with Surrogate ModelsCode0
Learning Pedestrian Actions to Ensure Safe Autonomous Driving—0
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics—0
MR-IDM -- Merge Reactive Intelligent Driver Model: Towards Enhancing Laterally Aware Car-following Models—0
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional SettingsCode0
ReasonNet: End-to-End Driving with Temporal and Global Reasoning—0
aUToLights: A Robust Multi-Camera Traffic Light Detection and Tracking System—0
t-RAIN: Robust generalization under weather-aliasing label shift attacks—0
Two is Better Than One: Digital Siblings to Improve Autonomous Driving TestingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified