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 951–975 of 2605 papers

TitleStatusHype
Exploring the Influence of Driving Context on Lateral Driving Style Preferences: A Simulator-Based Study—0
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey—0
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving—0
Exploring the Use of Autonomous Unmanned Vehicles for Supporting Power Grid Operations—0
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference—0
Characterizing Soft-Error Resiliency in Arm's Ethos-U55 Embedded Machine Learning Accelerator—0
Deep Camera Pose Regression Using Pseudo-LiDAR—0
Deconvolutional Networks for Point-Cloud Vehicle Detection and Tracking in Driving Scenarios—0
CheckINN: Wide Range Neural Network Verification in Imandra (Extended)—0
Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control—0
ChipNet: Real-Time LiDAR Processing for Drivable Region Segmentation on an FPGA—0
Real-Time Segmentation Networks should be Latency Aware—0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving—0
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors—0
Falsification-Based Robust Adversarial Reinforcement Learning—0
Far3Det: Towards Far-Field 3D Detection—0
Decomposition and Quantification of SOTIF Requirements for Perception Systems of Autonomous Vehicles—0
Decoding CNN based Object Classifier Using Visualization—0
Automated Detecting and Placing Road Objects from Street-level Images—0
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities—0
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network—0
Estimating Pedestrian Moving State Based on Single 2D Body Pose—0
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision—0
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning—0
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities—0
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Benchmark Results

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