Intelligent Vision-Based AdaptiveCruiseControl testing at DASHAPATH bangalore 10lane express highway

"Intelligent Vision-Based Adaptive Cruise Control" testing at DASHAPATH bangalore 10lane express highway.. (DECODING #TESLA) :p

Lane Keeping, Drivable Area Detection, and Object Detection and Tracking
Camera Perception Levels:

Lane Tracking: This involves detecting and tracking lane markings or boundaries on the road.

Object Detection and Tracking: This includes detecting and tracking various objects such as vehicles, pedestrians, and obstacles in the scene.

Road Detection: This refers to identifying and segmenting the road surface from the surrounding environment.

Multi-Object Tracking: Tracking and maintaining the identities of multiple objects simultaneously by fusing information from different sensors and detection algorithms.

Path Planning: Generating optimal or feasible paths for the vehicle to follow, considering the detected lanes, obstacles, and desired objectives.

Collision Avoidance: Using object detection and tracking information to predict potential collisions and take appropriate actions to avoid them.

Scene Understanding: Inferring higher-level semantic information from the perceived environment, such as traffic rules, traffic signs, and intentions of other road users.

ADAS (Advanced Driver Assistance Systems) Object Detection with YOLOv5

simple and easy #YOLOv5 Object Detection with Bird's Eye View and Tracking//
https://github.com/bharath5673/yolov5_BEV
AUTONOMOUS EMERGENCY BRAKING (AEB) with YOLOv5 Object Detection..
https://github.com/bharath5673/yolov5_ABS
Deepstream MultiModel @https://lnkd.in/gzx7fZuE

Deepstream 6.1. on Ubuntu20 // YOLOv7 //YOLOv5 // Python
Easy 10 step installation @https://lnkd.in/gQtbaHde
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#computervision #experts
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Видео Intelligent Vision-Based AdaptiveCruiseControl testing at DASHAPATH bangalore 10lane express highway канала Bharath kumar