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#HYDTPweBringAwareness 🚨 Minor Driving is a Serious Offence 🚨 A complaint received through social media regarding a minor driving an MG Cyberster on ORR was promptly verified by Rajendranagar Traffic PS . The vehicle was traced and apprehended along with the father of the minor and handed over to...

83,312 次观看 • 1 个月前 •via X (Twitter)

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Reckless Driver Arrested After Eluding Police Across Redmond; Drone Program Helps Track Vehicle Officers attempted to stop a vehicle in the early morning hours of April 23 after noticing it had no license plates. The driver accelerated well above the posted speed limit and failed to stop, ignoring emergency lights and sirens. The vehicle continued through Redmond, running red lights, making dangerous turns, and driving at high speeds. At one point, the driver returned toward an officer, flashing high beams in an apparent attempt to provoke a pursuit, and drove into oncoming traffic. Due to the reckless behavior and risk to the public, officers did not engage in a pursuit. Multiple drones were deployed remotely from docking locations throughout the city by a single Drone as First Responder (DFR) pilot, allowing officers to maintain continuous visual contact with the vehicle as it drove recklessly across Redmond. With assistance from aerial support, officers tracked the vehicle as it continued driving dangerously through the area, including SR-520 and downtown Redmond. Spike strips were successfully deployed, and the vehicle was later located at an apartment complex. Officers conducted a high-risk stop, and the driver was taken into custody without incident. The individual was arrested for eluding a police vehicle and further investigated for DUI. The driver was under the legal drinking age, and an open alcoholic beverage was found inside the vehicle. The individual was also driving with a suspended license. This type of reckless driving puts everyone at risk. Thank you to assisting units for their coordinated response.

RedmondWaPD

11,793 次观看 • 2 个月前

Autonomous driving through very dense dynamic traffic, with extremely tight-complex-stochastic traffic-dynamics on sub-urban roads, connecting to an open ground, with absolutely zero traffic-rules. This is the most heavily cluttered environment where we have tested our #autonomousdriving technology, presenting many of the adversarial negotiation scenarios as well, throughout the autonomous navigation task. This demo was done at the Mata Baglamukhi Madir campus in the city of Nalkheda, in MP, India, and was done in the presence of heavy police forces deployed that day on the ground, as can be seen in our demo. Our autonomous vehicle starts from the temple with a generic open environment, with zero traffic rules, with very narrow corridors created out of barricades for vehicles movement by the security forces. In the corridor no two vehicles can pass through at the same time, and our vehicle was tasked with driving through this corridor, while negotiating its way from any traffic, two-wheelers, or pedestrians it faces, with dense presence of bikes and cars on either side, presenting a very challenging environment for #autonomousvehicles. The vehicle exits the open area, and then assumes generic dual lane navigation, avoiding both static and dynamic obstacles, before encountering a police check-post, where the vehicle is supposed to wait if the barricade is closed, and proceed if open. Upon exiting the checkpost, the vehicle negotiates a traffic-intersection with stochastic and adversarial driving behaviour of other vehicles on the road. Our vehicle continuously faced heavily cluttered traffic scene, where entities on the road can execute a random driving pattern, making the decision making task very challenging. We did the demo over a period of two days, successfully executing multiple (30+) trials in this setting. This demo was again a culmination of our prior works and demos: Kankali Kali Mata demo, on-roads, bidirectional negotiation capability on single lane roads, and open environment Level-5 negotiation capability as showcased in our Toll-Plaza demo. We again scaled up classical decision making and motion planning algorithmic framework, to adapt to such a level of density of obstacles on the road. This framework is further being scaled up with #reinforcementlearning and unsupervised #deeplearning at Swaayatt Robots. We will again do a demo in the month of June here, showcasing autonomously acquired skills to pave the way for Level-5 autonomous driving, and to solve the Level-4 autonomy problem by the end of 2024. #MachineLearning

Sanjeev Sharma

332,952 次观看 • 2 年前

One Wrong Move Away From Disaster: Electronic city Flyover Bus Crash Exposes Dangerous Driving Culture Beware while driving at high speed on flyovers. This video is from the Electronic City flyover, where two buses collided with each other while trying to pass side by side on the narrow stretch of the flyover. Thankfully, there were no casualties, and only minor damage was reported. However, this incident raises a serious question what if this minor accident had turned into a major tragedy? Flyovers are not meant for risky overtaking or aggressive driving. At high speeds, even a small mistake can lead to catastrophic consequences, endangering not just the drivers but dozens of innocent passengers and other road users. In this case, both buses were from Tamil Nadu and were carrying passengers, making the situation even more alarming.Such incidents highlight the urgent need for patience, discipline, and responsible driving, especially on elevated roads where there is little room for error. Trying to overtake, racing to gain a few seconds, or driving side by side on flyovers puts lives at unnecessary risk. This video, recorded by Appaji K on his dashcam, should serve as a strong reminder to all drivers: maintain safe distance, avoid overtaking on flyovers, and never risk lives for speed or ego. A few seconds of caution can prevent irreversible loss. Let’s drive responsibly and make our roads safer for everyone. #bangalore #bengaluru #electroniccity DCP Electronic City BCP ELECTRONICCITY PS ಬೆಂಗಳೂರು ನಗರ ಪೊಲೀಸ್‌ BengaluruCityPolice ಬೆಂಗಳೂರು ಸಂಚಾರ ಪೊಲೀಸ್ BengaluruTrafficPolice CP Bengaluru ಪೊಲೀಸ್ ಆಯುಕ್ತ ಬೆಂಗಳೂರು Joint CP, Traffic, Bengaluru alok kumar DGP KARNATAKA ಕರ್ನಾಟಕ ರಾಜ್ಯ ಪೊಲೀಸ್ Karnataka State Police S. Lalitha ChristinMathewPhilip

Karnataka Portfolio

51,578 次观看 • 7 个月前