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

Showing 25612570 of 2605 papers

TitleStatusHype
Systematic Testing of Convolutional Neural Networks for Autonomous Driving0
Enhanced Emotion Enabled Cognitive Agent Based Rear End Collision Avoidance Controller for Autonomous Vehicles0
Designing Autonomous Vehicles: Evaluating the Role of Human Emotions and Social Norms0
Towards Social Autonomous Vehicles: Efficient Collision Avoidance Scheme Using Richardson's Arms Race Model0
Validation of Enhanced Emotion Enabled Cognitive Agent Using Virtual Overlay Multi-Agent System Approach0
Benchmarking 6DOF Outdoor Visual Localization in Changing ConditionsCode0
Automated Generation of Diverse and Challenging Scenarios for Test and Evaluation of Autonomous Vehicles0
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles0
Wetness and Color From a Single Multispectral Image0
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving CarsCode0
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Benchmark Results

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