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

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Showing 2341–2350 of 2605 papers

TitleStatusHype
Safe Trajectory Generation for Complex Urban Environments Using Spatio-temporal Semantic CorridorCode0
Cooperative Lane Changing via Deep Reinforcement Learning—0
Multi-Agent Pathfinding: Definitions, Variants, and BenchmarksCode0
Weather Influence and Classification with Automotive Lidar Sensors—0
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks—0
Providentia -- A Large-Scale Sensor System for the Assistance of Autonomous Vehicles and Its Evaluation—0
Attentional PointNet for 3D-Object Detection in Point CloudsCode0
VolMap: A Real-time Model for Semantic Segmentation of a LiDAR surrounding view—0
Multimodal End-to-End Autonomous Driving—0
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks—0
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Benchmark Results

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